Powered by Deep Web Technologies
Note: This page contains sample records for the topic "optimization cxs applied" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


1

HPC CLOUD APPLIED TO LATTICE OPTIMIZATION  

SciTech Connect

As Cloud services gain in popularity for enterprise use, vendors are now turning their focus towards providing cloud services suitable for scientific computing. Recently, Amazon Elastic Compute Cloud (EC2) introduced the new Cluster Compute Instances (CCI), a new instance type specifically designed for High Performance Computing (HPC) applications. At Berkeley Lab, the physicists at the Advanced Light Source (ALS) have been running Lattice Optimization on a local cluster, but the queue wait time and the flexibility to request compute resources when needed are not ideal for rapid development work. To explore alternatives, for the first time we investigate running the Lattice Optimization application on Amazon's new CCI to demonstrate the feasibility and trade-offs of using public cloud services for science.

Sun, Changchun; Nishimura, Hiroshi; James, Susan; Song, Kai; Muriki, Krishna; Qin, Yong

2011-03-18T23:59:59.000Z

2

Optimal experimental design applied to DC resistivity problems  

E-Print Network (OSTI)

The systematic design of experiments to optimally query physical systems through manipulation of the data acquisition strategy is termed optimal experimental design (OED). This dissertation introduces the state-of-the-art ...

Coles, Darrell Ardon, 1971-

2008-01-01T23:59:59.000Z

3

Particle swarm optimization applied to vertical traffic scheduling in buildings  

Science Conference Proceedings (OSTI)

Vertical traffic scheduling is significant in evaluating the quality of property management. An excellent vertical traffic scheduling approach aims at enhancing the system handling capacity and reducing the waiting time, journey time and energy consumption, ... Keywords: dynamic zoning, elevator group control system, particle swarm optimization, round-trip time, vertical traffic scheduling

Zhonghua Li; Hong-Zhou Tan; Yunong Zhang

2007-09-01T23:59:59.000Z

4

Beyond parallax barriers: applying formal optimization methods to multilayer automultiscopic displays  

E-Print Network (OSTI)

This paper focuses on resolving long-standing limitations of parallax barriers by applying formal optimization methods. We consider two generalizations of conventional parallax barriers. First, we consider general two-layer ...

Lanman, Douglas

5

Optimal Control Theory Applied to an Objective Analysis of a Tidal Current Mapping by HF Radar  

Science Conference Proceedings (OSTI)

Optimal control can provide a tool to perform an optimization of a tidal model via a data assimilation operation. A pilot study is presented here to test the theoretical and numerical feasibility of an assimilation of HF radar current ...

Jean-Luc Devenon

1990-04-01T23:59:59.000Z

6

Applying the Battery Ownership Model in Pursuit of Optimal Battery Use Strategies (Presentation)  

DOE Green Energy (OSTI)

This Annual Merit Review presentation describes the application of the Battery Ownership Model for strategies for optimal battery use in electric drive vehicles (PEVs, PHEVs, and BEVs).

Neubauer, J.; Ahmad, P.; Brooker, A.; Wood, E.; Smith, K.; Johnson, C.; Mendelsohn, M.

2012-05-01T23:59:59.000Z

7

Research on Applying Unidirectional Loop Layout to Optimize Facility Layout in Workshop Based on Improved Genetic Algorithm  

Science Conference Proceedings (OSTI)

As a type of layout which can bring the material transport high flexibility, unidirectional loop layout is widely used in modern workshop layout. This paper deploys research around how to apply a unidirectional loop layout to optimize the facility layout ... Keywords: Unidirectional loop layout, improved genetic algorithm, facility layout, blade manufacturing workshop

Yi Zhang; Hu Zhang; Min-min Xia; Tong-tong Lu; Li-ling Jiang

2009-07-01T23:59:59.000Z

8

A multi-objective optimization approach with consideration of fuzzy variables applied to structural tire design  

Science Conference Proceedings (OSTI)

In this contribution, a structural design concept, suitable for the application to passenger car tire development process is proposed. The focus is set on one hand on providing an appropriate multi-objective optimization approach, enabling the consideration ... Keywords: Finite element simulation, Metamodels, Multi-objective optimization, Robustness, Tire design, Uncertainty

Aleksandra Serafinska; Michael Kaliske; Christoph Zopf; Wolfgang Graf

2013-01-01T23:59:59.000Z

9

An Objective Bayesian Improved Approach for Applying Optimal Fingerprint Techniques to Estimate Climate Sensitivity  

Science Conference Proceedings (OSTI)

A detailed reanalysis is presented of a “Bayesian” climate parameter study (as exemplified by Forest et al.) that estimates climate sensitivity (ECS) jointly with effective ocean diffusivity and aerosol forcing, using optimal fingerprints to ...

Nicholas Lewis

2013-10-01T23:59:59.000Z

10

An objective Bayesian, improved approach for applying optimal fingerprint techniques to estimate climate sensitivity  

Science Conference Proceedings (OSTI)

A detailed reanalysis is presented of a ‘Bayesian’ climate parameter study (Forest et al., 2006) that estimates climate sensitivity (ECS) jointly with effective ocean diffusivity and aerosol forcing, using optimal fingerprints to compare multi-...

Nicholas Lewis

11

Oxidation of Low Calorific Value Gases-Applying Optimization Techniques to Combustor Design  

DOE Green Energy (OSTI)

The design of an optimal air-staged combustor for the oxidation of a low calorific value gas mixture is presented. The focus is on the residual fuel emitted from the anode of a molten carbonate fuel cell. Both experimental and numerical results are presented. The simplified numerical model considers a series of plug-flow-reactor sections, with the possible addition of a perfectly-stirred reactor. The parameter used for optimization, Z, is the sum of fuel-component molar flow rates leaving a particular combustor section. An optimized air injection profile is one that minimizes Z for a given combustor length and inlet condition. Since a mathematical proof describing the significance of global interactions remains lacking; the numerical model employs both a ''Local'' optimization procedure and a ''Global'' optimization procedure. The sensitivity of Z to variations in the air injection profile and inlet temperature is also examined. The results show that oxidation of the anode exhaust gas is possible with low pollutant emissions.

Randall S. Gemmen

1999-11-01T23:59:59.000Z

12

GA-SVM feasibility model and optimization kernel applied to analog IC design automation  

Science Conference Proceedings (OSTI)

An efficient use of macromodeling techniques is pointed out as an effective approach to improve the convergence and speed of the optimization process. The methodology presented in this paper is based on a learning scheme using Support Vector Machines(SVMs) ... Keywords: analog integrated circuit synthesis, genetic algorithms, support vector machines

Manuel Barros; Jorge Guilherme; Nuno Horta

2007-03-01T23:59:59.000Z

13

Mathematical programming applied in the optimal power flow problem DC: case studies of market needs  

Science Conference Proceedings (OSTI)

This paper seeks to investigate the application of mathematical programming, considering it as a tool for optimal electrical power generation and management. Nowadays, observing signals of crisis in various countries, electrical power emerges not only ... Keywords: energy flow in electrical energy networks and markets, linear Programming, marketing theory, mathematical programming, optimum power flow DC

Emerson Eustáquio Costa; Luiz Danilo Barbosa Terra; George Leal Jamil

2008-04-01T23:59:59.000Z

14

Applying mathematical programming elements to answer market needs: case studies of optimization of electrical power flow  

Science Conference Proceedings (OSTI)

This paper seeks to investigate the application of mathematical programming, considering it as a tool for optimal electrical power generation and management. Nowadays, observing signals of crisis in various countries, electrical power emerges not only ... Keywords: energy flow in electrical energy networks and markets, linear programming, marketing theory, mathematical programming, optimum power flow DC

Emerson Eustáquio Costa; Luiz Danilo Barbosa Terra; George Leal Jamil

2008-01-01T23:59:59.000Z

15

Program on Technology Innovation: An Investigation of the Stability Region Concept Applied to Stability-Constrained Optimal Power Flows  

Science Conference Proceedings (OSTI)

This report presents the formulation of optimal power flow with linear dynamic stability constraints. Intensive off-line dynamic simulations were performed to capture the system instability separation modes corresponding to system disturbances and to further derive the linear coefficients for each hyperplane. Optimal power flows with and without the dynamic stability region constraints were computed, and dynamic simulations based on two sets of power flow solutions were performed. Comparison of the two s...

2009-03-31T23:59:59.000Z

16

A new hybrid for improvement of auto-regressive integrated moving average models applying particle swarm optimization  

Science Conference Proceedings (OSTI)

A time series forecasting is an active research applied significantly in a variety of economics areas. Over the past three decades an auto-regressive integrated moving average (ARIMA) model, as one of the most important time series models, has been applied ... Keywords: ARIMA, Forecasting, PSOARIMA

Shahrokh Asadi; Akbar Tavakoli; Seyed Reza Hejazi

2012-04-01T23:59:59.000Z

17

Development of the Supply Chain Optimization and Planning for the Environment (SCOPE) Tool - Applied to Solar Energy  

E-Print Network (OSTI)

European Photovoltaic Solar Energy Conference, 2006. [5] F.SCOPE) Tool - Applied to Solar Energy Corinne Reich-Weiser,gases and energy de- mand of solar energy technology using a

Reich-Weiser, Corinne; Fletcher, Tristan; Dornfeld, David; Horne, Steve

2008-01-01T23:59:59.000Z

18

DEVELOPMENT OF A KINETIC MODEL OF BOEHMITE DISSOLUTION IN CAUSTIC SOLUTIONS APPLIED TO OPTIMIZE HANFORD WASTE PROCESSING  

SciTech Connect

Boehmite (e.g., aluminum oxyhydroxide) is a major non-radioactive component in Hanford and Savannah River nuclear tank waste sludge. Boehmite dissolution from sludge using caustic at elevated temperatures is being planned at Hanford to minimize the mass of material disposed of as high-level waste (HLW) during operation of the Waste Treatment Plant (WTP). To more thoroughly understand the chemistry of this dissolution process, we have developed an empirical kinetic model for aluminate production due to boehmite dissolution. Application of this model to Hanford tank wastes would allow predictability and optimization of the caustic leaching of aluminum solids, potentially yielding significant improvements to overall processing time, disposal cost, and schedule. This report presents an empirical kinetic model that can be used to estimate the aluminate production from the leaching of boehmite in Hanford waste as a function of the following parameters: (1) hydroxide concentration; (2) temperature; (3) specific surface area of boehmite; (4) initial soluble aluminate plus gibbsite present in waste; (5) concentration of boehmite in the waste; and (6) (pre-fit) Arrhenius kinetic parameters. The model was fit to laboratory, non-radioactive (e.g. 'simulant boehmite') leaching results, providing best-fit values of the Arrhenius A-factor, A, and apparent activation energy, E{sub A}, of A = 5.0 x 10{sup 12} hour{sup -1} and E{sub A} = 90 kJ/mole. These parameters were then used to predict boehmite leaching behavior observed in previously reported actual waste leaching studies. Acceptable aluminate versus leaching time profiles were predicted for waste leaching data from both Hanford and Savannah River site studies.

DISSELKAMP RS

2011-01-06T23:59:59.000Z

19

Practice Prize Paper---PIN Optimal Distribution of Auction Vehicles System: Applying Price Forecasting, Elasticity Estimation, and Genetic Algorithms to Used-Vehicle Distribution  

Science Conference Proceedings (OSTI)

In addition to retailing new vehicles, automotive manufacturers in the United States sell millions of vehicles through leasing and to fleet customers every year. The majority of these vehicles are returned to the automotive manufacturers at the end of ... Keywords: auction price, distribution, forecasting, optimization, used vehicle

Jie Du; Lili Xie; Stephan Schroeder

2009-07-01T23:59:59.000Z

20

HPC CLOUD APPLIED TO LATTICE OPTIMIZATION  

E-Print Network (OSTI)

Analysis of High Performance Computing Applications on thedesigned for High Performance Computing (HPC) applications.Fortunately, High Performance Computing (HPC) allows us to

Sun, Changchun

2011-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "optimization cxs applied" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

Gnie mcanique Multi-Objective Optimization applied  

E-Print Network (OSTI)

of the "smartgrid" technological concept. While it aims at improving the efficiency of energy production, the smartgrid technology is expected to achieve a fast deployment in the forthcoming years. In this study

Diggavi, Suhas

22

Optimization Online  

E-Print Network (OSTI)

NEOS Optimization Server · NEOS Optimization Guide · Linear Programming FAQ · Nonlinear Programming FAQ · Mathematical Programming Glossary ...

23

Applied Science  

NLE Websites -- All DOE Office Websites (Extended Search)

Applied Science Applied Science Correlation of predicted and measured iron oxidation states in mixed iron oxides H. D. Rosenfeld and W. L. Holstein Development of a quantitative measurement of a diesel spray core using synchrotron x-rays C.F. Powell, Y. Yue, S. Gupta, A. McPherson, R. Poola, and J. Wang Localized phase transformations by x-ray-induced heating R.A. Rosenberg, Q. Ma, W. Farrell, E.D. Crozier, G.J. Soerensen, R.A. Gordon, and D.-T. Jiang Resonant x-ray scattering at the Se edge in ferroelectric liquid crystal materials L. Matkin, H. Gleeson, R. Pindak, P. Mach, C. Huang, G. Srajer, and J. Pollmann Synchrotron-radiation-induced anisotropic wet etching of GaAs Q. Ma, D.C. Mancini, and R.A. Rosenberg Synchrotron-radiation-induced, selective-area deposition of gold on

24

Applied Science/Techniques  

NLE Websites -- All DOE Office Websites (Extended Search)

Applied Science/Techniques Applied Science/Techniques Applied Science/Techniques Print The ALS is an excellent incubator of new scientific techniques and instrumentation. Many of the technical advances that make the ALS a world-class soft x-ray facility are developed at the ALS itself. The optical components in use at the ALS-mirrors and lenses optimized for x-ray wavelengths-require incredibly high-precision surfaces and patterns (often formed through extreme ultraviolet lithography at the ALS) and must undergo rigorous calibration and testing provided by beamlines and equipment from the ALS's Optical Metrology Lab and Berkeley Lab's Center for X-Ray Optics. New and/or continuously improved experimental techniques are also a crucial element of a thriving scientific facility. At the ALS, examples of such "technique" highlights include developments in lensless imaging, soft x-ray tomography, high-throughput protein analysis, and high-power coherent terahertz radiation.

25

Optimization Online - A well-posed shooting algorithm for optimal ...  

E-Print Network (OSTI)

Oct 17, 2011 ... Abstract: In this article we establish for the first time the well-posedness of the shooting algorithm applied to optimal control problems for which ...

26

Applied Science/Techniques  

NLE Websites -- All DOE Office Websites (Extended Search)

Applied Science/Techniques Print Applied Science/Techniques Print The ALS is an excellent incubator of new scientific techniques and instrumentation. Many of the technical advances that make the ALS a world-class soft x-ray facility are developed at the ALS itself. The optical components in use at the ALS-mirrors and lenses optimized for x-ray wavelengths-require incredibly high-precision surfaces and patterns (often formed through extreme ultraviolet lithography at the ALS) and must undergo rigorous calibration and testing provided by beamlines and equipment from the ALS's Optical Metrology Lab and Berkeley Lab's Center for X-Ray Optics. New and/or continuously improved experimental techniques are also a crucial element of a thriving scientific facility. At the ALS, examples of such "technique" highlights include developments in lensless imaging, soft x-ray tomography, high-throughput protein analysis, and high-power coherent terahertz radiation.

27

Deterministic Global Optimization in Nonlinear Optimal Control Problems  

Science Conference Proceedings (OSTI)

The accurate solution of optimal control problems is crucial in many areas of engineering and applied science. For systems which are described by a nonlinear set of differential-algebraic equations, these problems have been shown to often contain ... Keywords: Differential-algebraic equations, Global optimization, Optimal control

William R. Esposito; Christodoulos A. Floudas

2000-09-01T23:59:59.000Z

28

Optimization Online - Coordinators  

E-Print Network (OSTI)

... Programming); William Hart — Sandia National Laboratory; (Combinatorial Optimization / Global Optimization / Optimization Software and Modeling Systems

29

Optimization locations of wind turbines with the particle swarm optimization  

Science Conference Proceedings (OSTI)

In this paper, a new algorithm is presented for the locations of wind turbine in the distribution systems. Technical constraints such as feeder capacity limits, bus voltage, and load balance are considered. The Particle Swarm Optimization(PSO) is applied ... Keywords: distribution system, equivalent current injection, particle swarm optimization, wind turbine

Ming-Tang Tsai; Szu-Wzi Wu

2012-06-01T23:59:59.000Z

30

A novel elitist multiobjective optimization algorithm: multiobjective ...  

E-Print Network (OSTI)

Apr 5, 2007 ... De Sousa F L, Vlassov V, Ramos F M. Generalized extremal optimization: An application in heat pipe design. Applied Mathematical Modeling ...

31

Optimization Online - Optimal Design of Electrical Machines ...  

E-Print Network (OSTI)

Jun 8, 2011 ... Optimal Design of Electrical Machines: Mathematical Programming ... Science and Engineering (Multidisciplinary Design Optimization ).

32

CX-009347: Categorical Exclusion Determination | Department of...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

CX-009347: Categorical Exclusion Determination Optimal Model Complexity in Geological Carbon Sequestration CX(s) Applied: A9 Date: 09212012 Location(s): Wyoming Offices(s):...

33

Categorical Exclusion Determinations: National Energy Technology...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Categorical Exclusion Determination Optimization of Regenerators for Active Magnetic Regenerative Refrigeration (AMRR) Systems CX(s) Applied: A9, A11 Date: 08262010...

34

Page not found | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Categorical Exclusion Determination Optimization of Regenerators for Active Magnetic Regenerative Refrigeration (AMRR) Systems CX(s) Applied: A9, A11 Date: 08262010...

35

Categorical Exclusion Determinations: A11 | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Categorical Exclusion Determination Optimization of Regenerators for Active Magnetic Regenerative Refrigeration (AMRR) Systems CX(s) Applied: A9, A11 Date: 08262010...

36

Categorical Exclusion Determinations: Office of Energy Efficiency...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Categorical Exclusion Determination Optimization of Regenerators for Active Magnetic Regenerative Refrigeration (AMRR) Systems CX(s) Applied: A9, A11 Date: 08262010...

37

Categorical Exclusion Determinations: American Recovery and Reinvestme...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Categorical Exclusion Determination Optimization of Regenerators for Active Magnetic Regenerative Refrigeration (AMRR) Systems CX(s) Applied: A9, A11 Date: 08262010...

38

CX-003535: Categorical Exclusion Determination | Department of...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Categorical Exclusion Determination Optimization of Regenerators for Active Magnetic Regenerative Refrigeration (AMRR) Systems CX(s) Applied: A9, A11 Date: 08262010...

39

Page not found | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

CX-009297: Categorical Exclusion Determination Optimization of Pressurized Oxy-Combustion with Flameless Reactor - Phase I CX(s) Applied: A9 Date: 08312012 Location(s):...

40

CX-010555: Categorical Exclusion Determination | Department of...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

CX-010555: Categorical Exclusion Determination United Technologies Research Center- Additive Manufacturing of Optimized Ultra-High Efficiency Electric Machines CX(s) Applied:...

Note: This page contains sample records for the topic "optimization cxs applied" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

Page not found | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Download CX-007406: Categorical Exclusion Determination Shallow Water Offshore Wind System Optimization for the Great Lakes CX(s) Applied: A9 Date: 12202011...

42

CX-003164: Categorical Exclusion Determination | Department of...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

4: Categorical Exclusion Determination CX-003164: Categorical Exclusion Determination Optimization of Biomass Production Across a Landscape CX(s) Applied: A9 Date: 07262010...

43

Indiana | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

December 30, 2010 CX-004860: Categorical Exclusion Determination Watershed Scale Optimization to Meet Sustainable Cellulosic Energy Crop Demand CX(s) Applied: A9, B3.1...

44

CX-009253: Categorical Exclusion Determination | Department of...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Categorical Exclusion Determination CX-009253: Categorical Exclusion Determination Optimization of Electrical Power at the Portsmouth Gaseous Diffusion Facility CX(s) Applied:...

45

CX-009298: Categorical Exclusion Determination | Department of...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

8: Categorical Exclusion Determination CX-009298: Categorical Exclusion Determination Optimization of Pressurized Oxy-Combustion with Flameless Reactor - Phase I CX(s) Applied:...

46

CX-007695: Categorical Exclusion Determination | Department of...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Sandia National Laboratories - Improved Power System Operations Using Advanced Stochastic Optimization CX(s) Applied: A9 Date: 11182011 Location(s): New Mexico, Iowa,...

47

CX-008939: Categorical Exclusion Determination | Department of...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

States CX(s) Applied: A9 Date: 08172012 Location(s): Multiple Offices(s): National Energy Technology Laboratory Modeling of optimization of commercial carbon dioxide...

48

CX-007406: Categorical Exclusion Determination | Department of...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

CX-007406: Categorical Exclusion Determination Shallow Water Offshore Wind System Optimization for the Great Lakes CX(s) Applied: A9 Date: 12202011 Location(s): Ohio...

49

CX-009297: Categorical Exclusion Determination | Department of...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

7: Categorical Exclusion Determination CX-009297: Categorical Exclusion Determination Optimization of Pressurized Oxy-Combustion with Flameless Reactor - Phase I CX(s) Applied: A9...

50

CX-009299: Categorical Exclusion Determination | Department of...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

9: Categorical Exclusion Determination CX-009299: Categorical Exclusion Determination Optimization of Pressurized Oxy-Combustion with Flameless Reactor - Phase I CX(s) Applied:...

51

CX-008611: Categorical Exclusion Determination | Department of...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Exclusion Determination CX-008611: Categorical Exclusion Determination Oneida Nation Energy Optimization Model Development Project CX(s) Applied: B3.6, B3.8 Date: 07172012...

52

CX-008940: Categorical Exclusion Determination | Department of...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Categorical Exclusion Determination Commercial Scale Carbon Dioxide Injection and Optimization of Storage Capacity in the Southeastern United States CX(s) Applied: B5.1...

53

CX-006974: Categorical Exclusion Determination | Department of...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Determination Fully-Integrated Automotive Traction Inverter with Real-Time Switching Optimization CX(s) Applied: B3.6 Date: 09262011 Location(s): Colorado, Massachusetts,...

54

Categorical Exclusion Determinations: National Energy Technology...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

0, 2012 CX-009310: Categorical Exclusion Determination Optimization of Reservoir Storage Capacity in Different Depositional Environments (Rock Sampling) CX(s) Applied: B3.1 Date:...

55

CX-009426: Categorical Exclusion Determination | Department of...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Auxiliary Services Hydrogen Refueling Facility Performance Evaluation and Optimization CX(s) Applied: A9, B5.22 Date: 10242012 Location(s): California Offices(s):...

56

Categorical Exclusion Determinations: Office of Energy Efficiency...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Categorical Exclusion Determination Optimization of Hybrid-WaterAir-Cooled Condenser In an Enhanced Turbine Geothermal Organic Rankine Cycle System CX(s) Applied: B3.6,...

57

Lattice Boltzmann Simulation Optimization  

NLE Websites -- All DOE Office Websites (Extended Search)

Boltzmann Boltzmann Simulation Optimization on Leading Multicore Platforms Selected as Best Paper in Application Track, IPDPS 2008, April 14-28, Miami, Florida, USA Samuel Williams † , Jonathan Carter , Leonid Oliker John Shalf , Katherine Yelick † CRD/NERSC, Lawrence Berkeley National Laboratory Berkeley, CA 94720 † CS Division, University of California at Berkeley, Berkeley, CA 94720 {SWWilliams, JTCarter, LOliker, JShalf, KAYelick}@lbl.gov Abstract We present an auto-tuning approach to optimize ap- plication performance on emerging multicore architec- tures. The methodology extends the idea of search- based performance optimizations, popular in linear al- gebra and FFT libraries, to application-specific com- putational kernels. Our work applies this strategy to a lattice Boltzmann application (LBMHD) that histor- ically has made poor use of scalar microprocessors

58

Applied Quantum Information Science  

Science Conference Proceedings (OSTI)

Applied Quantum Information Science. Summary: Theory is being developed and used to devise methods for preserving ...

2012-05-30T23:59:59.000Z

59

Pathwise Optimization for Optimal Stopping Problems  

Science Conference Proceedings (OSTI)

We introduce the pathwise optimization (PO) method, a new convex optimization procedure to produce upper and lower bounds on the optimal value (the “price”) of a high-dimensional optimal stopping problem. The PO method builds on a dual characterization ... Keywords: American options, Bermudian options, dynamic programming, optimal control, optimal stopping

Vijay V. Desai; Vivek F. Farias; Ciamac C. Moallemi

2012-12-01T23:59:59.000Z

60

Bilevel optimization applied to strategic pricing in competitive electricity markets  

Science Conference Proceedings (OSTI)

In this paper, we present a bilevel programming formulation for the problem of strategic bidding under uncertainty in a wholesale energy market (WEM), where the economic remuneration of each generator depends on the ability of its own management to ... Keywords: Bilevel programming, Electricity pool market, Mathematical program with equilibrium constraints, Strategic pricing

M. Fampa; L. A. Barroso; D. Candal; L. Simonetti

2008-03-01T23:59:59.000Z

Note: This page contains sample records for the topic "optimization cxs applied" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

An integrated CAD methodology applied to wind turbine optimization  

E-Print Network (OSTI)

Modern engineering practice for designing physical products requires the creation of a CAD model of the design for documentation and manufacturing. As the design evolves from concept through to production, it is analyzed ...

Crawford, Curran A. (Curran Alexander), 1978-

2003-01-01T23:59:59.000Z

62

Applying the Battery Ownership Model in Pursuit of Optimal Battery...  

NLE Websites -- All DOE Office Websites (Extended Search)

vehicle types, configurations, and use strategies - Accounting for the added utility, battery wear, and infrastructure costs of range-extension techniques (battery swap, fast...

63

Robustness and Errors in Quantum Optimal Control  

E-Print Network (OSTI)

We introduce a new approach to quantify the robustness of optimal control of closed quantum systems. Our theory allows to assess the degree of distortion that can be applied to a set of known optimal control parameters, which are solutions of an optimal control problem. The formalism is applied to an exactly solvable model and to the Landau-Zener model, whose optimal control problem is solvable only numerically. The presented method is of importance for any application where a high degree of controllability of the quantum system dynamics is required.

Calarco, Antonio Negretti; Rosario Fazio; Tommaso

2010-01-01T23:59:59.000Z

64

SOUTHVIEWDR Center for Applied  

E-Print Network (OSTI)

/Geology Chemistry Biological Sciences Geology Lab Bookstore Reed Milledge Payne Memorial Hall SANFORD DR Center CAES Activity Center Visitors Center (Four Towers) Greenhouses Center for Applied Isotope Study

Hall, Daniel

65

Performance and Optimization  

NLE Websites -- All DOE Office Websites (Extended Search)

and Optimization Performance and Optimization Compiler Comparisons Using a set of benchmarks described below, different optimization options for the different compilers on...

66

Applied Energy Programs  

NLE Websites -- All DOE Office Websites (Extended Search)

Applied Energy Programs Applied Energy Programs Applied Energy Programs Los Alamos is using its world-class scientific capabilities to enhance national energy security by developing energy sources with limited environmental impact and by improving the efficiency and reliability of the energy infrastructure. CONTACT US Acting Program Director Melissa Fox (505) 663-5538 Email Applied Energy Program Office serves as the hub connecting the Laboratory's scientific and technical resources to DOE sponsors, DoD programs, and to industry. The Applied Energy Program Office manages Los Alamos National Laboratory programs funded by the Department of Energy's (DOE's) Offices of Energy Efficiency/Renewable Energy, Electricity Delivery and Energy Reliability, and Fossil Energy. With energy use increasing across the nation and the

67

Optimization Online - Global Optimization Submissions - 2011  

E-Print Network (OSTI)

Optimization and homotopy methods for the Gibbs free energy of magmatic mixtures ... On DC. optimization algorithms for solving minmax flow problems

68

Optimization Online - Stochastic Optimization Approach to Water ...  

E-Print Network (OSTI)

Mar 18, 2012 ... Optimization Online. Stochastic Optimization Approach to Water Management in Cooling-Constrained Power Plants. Juan M. Salazar(juan ...

69

BWR Assembly Optimization for Minor Actinide Recycling  

Science Conference Proceedings (OSTI)

The Primary objective of the proposed project is to apply and extend the latest advancements in LWR fuel management optimization to the design of advanced boiling water reactor (BWR) fuel assemblies specifically for the recycling of minor actinides (MAs).

G. Ivan Maldonado; John M. Christenson; J.P. Renier; T.F. Marcille; J. Casal

2010-03-22T23:59:59.000Z

70

Optimal Control of Stochastic Partial Differential Equations  

E-Print Network (OSTI)

In this paper, we prove the necessary and sufficient maximum principles (NSMP in short) for the optimal control of system described by a quasilinear stochastic heat equation with the control domain being convex and all the coefficients containing control variable. For that, the optimal control problem of fully coupled forward-backward doubly stochastic system is studied. We apply our NSMP to solve a kind of forward-backward doubly stochastic linear quadratic optimal control problem as well.

Zhang, Liangquan

2010-01-01T23:59:59.000Z

71

Predicting locality phases for dynamic memory optimization  

Science Conference Proceedings (OSTI)

Dynamic data, cache, and memory adaptation can significantly improve program performance when they are applied on long continuous phases of execution that have dynamic but predictable locality. To support phase-based adaptation, this paper defines the ... Keywords: Dynamic optimization, Locality analysis and optimization, Phase hierarchy, Program phase prediction, Reconfigurable architecture

Xipeng Shen; Yutao Zhong; Chen Ding

2007-07-01T23:59:59.000Z

72

Stopping Rules for Box-Constrained Stochastic Global Optimization  

E-Print Network (OSTI)

of the steric energy function ([10, 11, 12]). Devising ... Goldstein & Price .... trends in global optimization, Journal of Computational and Applied Mathematics 124,.

73

Essays in applied microeconomics  

E-Print Network (OSTI)

This dissertation consists of three chapters on topics in applied microeconomics. In the first chapter. I investigate whether voters are more likely to support additional spending on local public services when they perceive ...

Aron-Dine, Aviva

2012-01-01T23:59:59.000Z

74

Applied Mathematics | Argonne National Laboratory  

NLE Websites -- All DOE Office Websites (Extended Search)

Applied Mathematics Applied Mathematics Our work in applied mathematics ranges from algorithm design, to development of software tools and technology, to advanced simulations in...

75

Risk-Based Production Optimization  

Science Conference Proceedings (OSTI)

This report documents the pilot application of a risk-informed approach to production optimization at fossil power plants. In this project, EPRI worked with a U.S. utility to develop risk profiles for plant components at two of the utilitys coal-fired generating units. The information was then used as a basis for identifying timing strategies for performing outage-based maintenance. The primary objective was to apply a risk-informed approach to identifying an optimal sequence of outage intervals and scop...

2011-04-29T23:59:59.000Z

76

Optimal control, geometry, and quantum computing  

E-Print Network (OSTI)

We prove upper and lower bounds relating the quantum gate complexity of a unitary operation, U, to the optimal control cost associated to the synthesis of U. These bounds apply for any optimal control problem, and can be used to show that the quantum gate complexity is essentially equivalent to the optimal control cost for a wide range of problems, including time-optimal control and finding minimal distances on certain Riemannian, subriemannian, and Finslerian manifolds. These results generalize the results of Nielsen, Dowling, Gu, and Doherty, Science 311, 1133-1135 (2006), which showed that the gate complexity can be related to distances on a Riemannian manifold

Michael A. Nielsen; Mark R. Dowling; Mile Gu; Andrew C. Doherty

2006-03-19T23:59:59.000Z

77

Particle swarm optimization technique based short-term hydrothermal scheduling  

Science Conference Proceedings (OSTI)

Particle swarm optimization is applied to determine the optimal hourly schedule of power generation in a hydrothermal power system. A multi-reservoir cascaded hydroelectric system with a nonlinear relationship between water discharge rate, net head and ... Keywords: Cascaded reservoirs, Hydrothermal scheduling, Particle swarm optimization

K. K. Mandal; M. Basu; N. Chakraborty

2008-09-01T23:59:59.000Z

78

Selective regenerated particle swarm optimization for multimodal function  

Science Conference Proceedings (OSTI)

This article proposes an improved particle swarm optimization (PSO) with suggested parameter setting "Selective Particle Regeneration". To evaluate its reliability and efficiency, this approach is applied to multimodal function optimizing tasks. 12 benchmark ... Keywords: multimodal functions, particle swarm optimization, selective particle regeneration

Chi-Yang Tsai; I-Wei Kao

2008-11-01T23:59:59.000Z

79

A 2-Opt based differential evolution for global optimization  

Science Conference Proceedings (OSTI)

Differential evolution (DE) is a simple and effective global optimization algorithm. It has been successfully applied to solve a wide range of real-world optimization problems. However, DE has shown some weaknesses, especially the long computational ... Keywords: 2-Opt algorithm, Differential evolution, Optimization

Cheng-Wen Chiang; Wei-Ping Lee; Jia-Sheng Heh

2010-09-01T23:59:59.000Z

80

Optimization Online - Robust Optimization Submissions - 2011  

E-Print Network (OSTI)

Sanjay Mehrotra, He Zhang. Robust Energy Cost Optimization of Water Distribution System with Uncertain Demand Alexander Goryashko, Arkadi Nemirovski.

Note: This page contains sample records for the topic "optimization cxs applied" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

Optimization Online - Nonlinear Optimization Submissions - 2012  

E-Print Network (OSTI)

Mariano Beguerisse-Díaz, Baojun Wang, Radhika Desikan, Mauricio Barahona. Unconstrained Optimization Globally Convergent Evolution Strategies and ...

82

Optimization Online - Robust Optimization Submissions - 2013  

E-Print Network (OSTI)

Robust Optimization Submissions - 2013. January 2013. Robust Least Square Semidefinite Programming with Applications to Correlation Stress Testing

83

Optimization Online - Optimizing Trading Decisions for Hydro ...  

E-Print Network (OSTI)

Dec 10, 2011 ... Optimizing Trading Decisions for Hydro Storage Systems using Approximate ... Keywords: OR in Energy, Approximate Dynamic Programming, ...

84

Time optimization and state-dependent constraints in the quantum optimal control of molecular orientation  

E-Print Network (OSTI)

We apply two recent generalizations of monotonically convergent optimization algorithms to the control of molecular orientation by laser fields. We show how to minimize the control duration by a step-wise optimization and maximize the field-free molecular orientation using state-dependent constraints. We discuss the physical relevance of the different results.

M. Ndong; C. Koch; D. Sugny

2013-08-03T23:59:59.000Z

85

Simulation optimization using particle swarm optimization algorithm with application to assembly line design  

Science Conference Proceedings (OSTI)

Assembly line design is an important part of production system. Some processes need to undergo changes in order to increase in efficiency. Computer simulation has been applied on process design for many decades. Traditionally, simulation had to run all ... Keywords: Assembly line, Particle swarm optimization algorithm, Simulation, Simulation optimization

R. J. Kuo; C. Y. Yang

2011-01-01T23:59:59.000Z

86

Optimal segmentation and packaging process  

DOE Patents (OSTI)

A process for improving packaging efficiency uses three dimensional, computer simulated models with various optimization algorithms to determine the optimal segmentation process and packaging configurations based on constraints including container limitations. The present invention is applied to a process for decontaminating, decommissioning (D&D), and remediating a nuclear facility involving the segmentation and packaging of contaminated items in waste containers in order to minimize the number of cuts, maximize packaging density, and reduce worker radiation exposure. A three-dimensional, computer simulated, facility model of the contaminated items are created. The contaminated items are differentiated. The optimal location, orientation and sequence of the segmentation and packaging of the contaminated items is determined using the simulated model, the algorithms, and various constraints including container limitations. The cut locations and orientations are transposed to the simulated model. The contaminated items are actually segmented and packaged. The segmentation and packaging may be simulated beforehand. In addition, the contaminated items may be cataloged and recorded.

Kostelnik, Kevin M. (Idaho Falls, ID); Meservey, Richard H. (Idaho Falls, ID); Landon, Mark D. (Idaho Falls, ID)

1999-01-01T23:59:59.000Z

87

Low Rank Coal Optimization  

NLE Websites -- All DOE Office Websites (Extended Search)

Low Rank Coal Optimization Low Rank Coal Optimization NETL Office of Research and Development Project Number: FWP-2012.03.03 Task 4 Project Description NETL's in-house research team is using an integrated approach to combine theory, computational modeling, experiment, and industrial input to develop physics-based methods, models, and tools to support the development and deployment of advanced gasification based devices and systems. The activities in this effort include developing and applying computational and modeling tools to simulate complex flows in applications such as transport or entrained flow gasifiers. TRIG Model Development - The primary objective of this work is to develop a hierarchy of models for numerical simulations of TRIG co-feed conditions that span fast running reduced order models (ROM's) to high fidelity multiphase computational fluid dynamics (CFD) models. Each model will have uncertainty quantification associated with its predictions to allow a user to choose a model based on the trade-offs between computational speed and uncertainty in the predictions.

88

2010 - Optimization Online  

E-Print Network (OSTI)

Minimum wight Topology optimization subject to unsteady heat equation and space-time pointwise ... Optimal adaptive control of cascading power grid failures

89

Performance and Optimization  

NLE Websites -- All DOE Office Websites (Extended Search)

1-800-66-NERSC, option 3 or 510-486-8611 Home For Users Computational Systems Edison Performance and Optimization Performance and Optimization Note: all the performance...

90

Generation of optimal artificial neural networks using a pattern search algorithm: Application to approximation of chemical systems  

Science Conference Proceedings (OSTI)

A pattern search optimization method is applied to the generation of optimal artificial neural networks (ANNs). Optimization is performed using a mixed variable extension to the generalized pattern search method. This method offers the advantage that ...

Matthias Ihme; Alison L. Marsden; Heinz Pitsch

2008-02-01T23:59:59.000Z

91

Multiobjective Particle Swarm Optimization for the optimal design of photovoltaic grid-connected systems  

Science Conference Proceedings (OSTI)

Particle Swarm Optimization (PSO) is a highly efficient evolutionary optimization algorithm. In this paper a multiobjective optimization algorithm based on PSO applied to the optimal design of photovoltaic grid-connected systems (PVGCSs) is presented. The proposed methodology intends to suggest the optimal number of system devices and the optimal PV module installation details, such that the economic and environmental benefits achieved during the system's operational lifetime period are both maximized. The objective function describing the economic benefit of the proposed optimization process is the lifetime system's total net profit which is calculated according to the method of the Net Present Value (NPV). The second objective function, which corresponds to the environmental benefit, equals to the pollutant gas emissions avoided due to the use of the PVGCS. The optimization's decision variables are the optimal number of the PV modules, the PV modules optimal tilt angle, the optimal placement of the PV modules within the available installation area and the optimal distribution of the PV modules among the DC/AC converters. (author)

Kornelakis, Aris [Technical University of Crete, Department of Electronic and Computer Engineering, Chania (Greece)

2010-12-15T23:59:59.000Z

92

Applied antineutrino physics workshop.  

Science Conference Proceedings (OSTI)

This workshop is the fourth one of a series that includes the Neutrino Geophysics Conference at Honolulu, Hawaii, which I attended in 2005. This workshop was organized by the Astro-Particle and Cosmology laboratory in the recently opened Condoret building of the University of Paris. More information, including copies of the presentations, on the workshop is available on the website: www.apc.univ-paris7.fr/AAP2007/. The workshop aims at opening neutrino physics to various fields such that it can be applied in geosciences, nuclear industry (reactor and spent fuel monitoring) and non-proliferation. The workshop was attended by over 60 people from Europe, USA, Asia and Brazil. The meeting was also attended by representatives of the Comprehensive nuclear-Test Ban Treaty (CTBT) and the International Atomic Energy Agency (IAEA). The workshop also included a workshop dinner on board of a river boat sailing the Seine river.

Lund, James C.

2008-01-01T23:59:59.000Z

93

Bacterial Foraging Optimization  

Science Conference Proceedings (OSTI)

The bacterial foraging optimization BFO algorithm mimics how bacteria forage over a landscape of nutrients to perform parallel nongradient optimization. In this article, the author provides a tutorial on BFO, including an overview of the biology of bacterial ... Keywords: Bacteria Foraging, Bacteria Foraging Optimization, Bacteria Motility, Control, Distributed Control, Optimization

Kevin M. Passino

2010-01-01T23:59:59.000Z

94

Optimization Online - Benchmark of Some Nonsmooth Optimization ...  

E-Print Network (OSTI)

Mar 1, 2006 ... Benchmark of Some Nonsmooth Optimization Solvers for Computing Nonconvex Proximal Points. Warren Hare (whare ***at*** cecm.sfu.ca)

95

Optimization Online - Robust Optimization Submissions - 2012  

E-Print Network (OSTI)

An Exact Algorithm for Power Grid Interdiction Problem with Line Switching Long Zhao, Bo Zeng. An Exact Algorithm for Two-stage Robust Optimization with ...

96

Optimization Online - Nonlinear Optimization Submissions - 2013  

E-Print Network (OSTI)

Optimization of running strategies based on anaerobic energy and variations of velocity. Amandine Aftalion, J. Frédéric Bonnans. Convergence Analysis of DC ...

97

Optimization Online - Energy Security: a robust optimization ...  

E-Print Network (OSTI)

Sep 9, 2010 ... Energy Security: a robust optimization approach to design a robust European energy supply via TIAM. F Babonneau(fbabonneau ***at*** ...

98

Optimization Online - Projection methods in conic optimization  

E-Print Network (OSTI)

Mar 8, 2011 ... Citation: To appear as a contributed chapter of "Handbook of Semidefinite, Cone and Polynomial Optimization" edited by M. Anjos and J. B. ...

99

Optimization Online - Python Optimization Modeling Objects (Pyomo)  

E-Print Network (OSTI)

Sep 24, 2008 ... sandia.gov). Abstract: We describe Pyomo, an open-source tool for modeling optimization applications in Python. Pyomo can be used to define ...

100

Optimization Online - Python Optimization Modeling Objects (Pyomo)  

E-Print Network (OSTI)

Dec 30, 2009 ... Python Optimization Modeling Objects (Pyomo). William Hart(wehart ***at*** sandia.gov) Jean-Paul Watson(jwatson ***at*** sandia.gov)

Note: This page contains sample records for the topic "optimization cxs applied" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

Applied and Computational Mathematics Division  

Science Conference Proceedings (OSTI)

Applied and Computational Mathematics Division. Topic Areas. Mathematics; Scientific Computing; Visualization; Quantum Computing. ...

2013-05-09T23:59:59.000Z

102

Optimal fault location  

E-Print Network (OSTI)

Basic goal of power system is to continuously provide electrical energy to the users. Like with any other system, failures in power system can occur. In those situations it is critical that correct remedial actions are applied as soon as possible after the accurate fault condition and location are detected. This thesis has been focusing on automated fault location procedure. Different fault location algorithms, classified according to the spatial placement of physical measurements on single ended, multiple ended and sparse system-wide, are investigated. As outcome of this review, methods are listed as function of different parameters that influence their accuracy. This comparison is than used for generating procedure for optimal fault location algorithm selection. According to available data, and position of the fault with respect to the data, proposed procedure decides between different algorithms and selects an optimal one. A new approach is developed by utilizing different data structures such as binary tree and serialization in order to efficiently implement algorithm decision engine. After accuracy of algorithms is strongly influenced by available input data, different data sources are recommended in proposed architecture such as the digital fault recorders, circuit breaker monitoring, SCADA, power system model and etc. Algorithm for determining faulted section is proposed based on the data from circuit breaker monitoring devices. This algorithm works in real time by recognizing to which sequence of events newly obtained recording belongs. Software prototype of the proposed automated fault location analysis is developed using Java programming language. Fault location analysis is automatically triggered by appearance of new event files in a specific folder. The tests were carried out using the real life transmission system as an example.

Knezev, Maja

2007-12-01T23:59:59.000Z

103

Optimization of Cooling Water  

E-Print Network (OSTI)

A cooling water system can be optimized by operation at the highest possible cycles of concentration without risking sealing and fouling on heat exchanger surfaces. The way to optimize will be shown, with a number of examples of new systems.

Matson, J.

1985-05-01T23:59:59.000Z

104

Nonconvex robust optimization  

E-Print Network (OSTI)

We propose a novel robust optimization technique, which is applicable to nonconvex and simulation-based problems. Robust optimization finds decisions with the best worst-case performance under uncertainty. If constraints ...

Teo, Kwong Meng

2007-01-01T23:59:59.000Z

105

Heterogeneous particle swarm optimizers  

Science Conference Proceedings (OSTI)

Particle swarm optimization (PSO) is a swarm intelligence technique originally inspired by models of flocking and of social influence that assumed homogeneous individuals. During its evolution to become a practical optimization tool, some heterogeneous ...

Marco A. Montes De Oca; Jorge Peña; Thomas Stützle; Carlo Pinciroli; Marco Dorigo

2009-05-01T23:59:59.000Z

106

Erosion and Optimal Transport  

E-Print Network (OSTI)

383 pp. EROSION AND OPTIMAL TRANSPORT [23] I. Ekeland and T.and D. Simons, Sediment transport capacity of overland ?ow,measure spaces via optimal transport, Ann. of Math. (2),

Birnir, Bjorn; Rowlett, Julie

2010-01-01T23:59:59.000Z

107

568.ps - Optimization Online  

E-Print Network (OSTI)

was implemented in the interactive system for universal functional optimization UFO. Results of extensive numerical experiments are reported. Keywords.

108

Web based portfolio optimization  

Science Conference Proceedings (OSTI)

The portfolio optimization is implemented as e-service through Internet. Four-tier client-server model of WAN-based information system is designed satisfying the intersection of several domains: financial investments, optimization theory and information ... Keywords: portfolio optimization, system algorithmic architecture of information systems, web based information system

Todor Stoilov; Krasimira Stoilova

2009-06-01T23:59:59.000Z

109

Applied Optoelectronics | Open Energy Information  

Open Energy Info (EERE)

optical semiconductor devices, packaged optical components, optical subsystems, laser transmitters, and fiber optic transceivers. References Applied Optoelectronics1...

110

Industrial cogeneration optimization program  

SciTech Connect

The purpose of this program was to identify up to 10 good near-term opportunities for cogeneration in 5 major energy-consuming industries which produce food, textiles, paper, chemicals, and refined petroleum; select, characterize, and optimize cogeneration systems for these identified opportunities to achieve maximum energy savings for minimum investment using currently available components of cogenerating systems; and to identify technical, institutional, and regulatory obstacles hindering the use of industrial cogeneration systems. The analysis methods used and results obtained are described. Plants with fuel demands from 100,000 Btu/h to 3 x 10/sup 6/ Btu/h were considered. It was concluded that the major impediments to industrial cogeneration are financial, e.g., high capital investment and high charges by electric utilities during short-term cogeneration facility outages. In the plants considered an average energy savings from cogeneration of 15 to 18% compared to separate generation of process steam and electric power was calculated. On a national basis for the 5 industries considered, this extrapolates to saving 1.3 to 1.6 quads per yr or between 630,000 to 750,000 bbl/d of oil. Properly applied, federal activity can do much to realize a substantial fraction of this potential by lowering the barriers to cogeneration and by stimulating wider implementation of this technology. (LCL)

1980-01-01T23:59:59.000Z

111

Particle Swarm Optimization Based Reactive Power Optimization  

E-Print Network (OSTI)

Reactive power plays an important role in supporting the real power transfer by maintaining voltage stability and system reliability. It is a critical element for a transmission operator to ensure the reliability of an electric system while minimizing the cost associated with it. The traditional objectives of reactive power dispatch are focused on the technical side of reactive support such as minimization of transmission losses. Reactive power cost compensation to a generator is based on the incurred cost of its reactive power contribution less the cost of its obligation to support the active power delivery. In this paper an efficient Particle Swarm Optimization (PSO) based reactive power optimization approach is presented. The optimal reactive power dispatch problem is a nonlinear optimization problem with several constraints. The objective of the proposed PSO is to minimize the total support cost from generators and reactive compensators. It is achieved by maintaining the whole system power loss as minimum...

Sujin, P R; Linda, M Mary

2010-01-01T23:59:59.000Z

112

Optimization Online - Optimizing Preventive Maintenance Models  

E-Print Network (OSTI)

Jun 29, 2004 ... Optimizing Preventive Maintenance Models ... It is assumed that there is a known model which predicts the frequency of system failure as a function of ... Category 2: Applications -- OR and Management Sciences (Scheduling ).

113

NFRC Procedures for Applied Films  

NLE Websites -- All DOE Office Websites (Extended Search)

Applied Films Applied Films Last update: 12/10/2013 07:29 PM NFRC now has a procedure for adding applied films to substrates in Optics5 and importing those applied film constructions into WINDOW5 to be used in a whole product calculation. The information presented below is provided to help simulators with this process. Feel free to contact us at WINDOWHelp@lbl.gov with questions or comments. NFRC Applied Film Procedure Applied Film Procedures (approved by NFRC) (PDF file) Approved Applied Film List (IGDB 33.0) (PDF file) NFRC Laminate Procedure Training Powerpoint with Examples (This Powerpoint presentation was used in the NFRC web based training sessions in December 2006 and January 2007) PowerPoint Presentation (PPT file) PowerPoint Presentation (PDF file) Help and Troubleshooting

114

Optimization of students' anti-epidemic prophylaxis  

Science Conference Proceedings (OSTI)

A possibility of applying a method of optimal control theory to constructing economical modes of students' prophylaxis during a seasonal growth of acute respiratory diseases is studied. A model of seasonal growth is represented and two schemes are compared: ... Keywords: 02.30.Yy

I. D. Kolesin; E. M. Zhitkova

2008-07-01T23:59:59.000Z

115

Exhaustive Optimization Phase Order Space Exploration  

Science Conference Proceedings (OSTI)

The phase-ordering problem is a long standing issue for compiler writers. Most optimizing compilers typically have numerous different code-improving phases, many of which can be applied in any order. These phases interact by enabling or disabling opportunities ...

Prasad A. Kulkarni; David B. Whalley; Gary S. Tyson; Jack W. Davidson

2006-03-01T23:59:59.000Z

116

Measurement Protocols for Optimized Fuel Assembly Tags  

Science Conference Proceedings (OSTI)

This report describes the measurement protocols for optimized tags that can be applied to standard fuel assemblies used in light water reactors. This report describes work performed by the authors at Pacific Northwest National Laboratory for NA-22 as part of research to identify specific signatures that can be developed to support counter-proliferation technologies.

Gerlach, David C.; Mitchell, Mark R.; Reid, Bruce D.; Gesh, Christopher J.; Hurley, David E.

2008-11-01T23:59:59.000Z

117

Optimal statistical model for forecasting ozone  

Science Conference Proceedings (OSTI)

The objective of this paper is to apply time series analysis and multiple regression method to ozone data in order to obtain the optimal statistical model for forecasting next day ozone level. The best estimated model is then used to produce one-step ... Keywords: ARMA (p, q), Durbin-Watson Statistic, MAPE, R-square, multiple regression

M. Abdollahian; R. Foroughi; N. Debnath

2006-04-01T23:59:59.000Z

118

Pareto-optimal glowworm swarms optimization for smart grids management  

Science Conference Proceedings (OSTI)

This paper presents a novel nature-inspired multi-objective optimization algorithm. The method extends the glowworm swarm particles optimization algorithm with algorithmical enhancements which allow to identify optimal pareto front in the objectives ... Keywords: evolutionary optimization, micro-grids, pareto optimization, swarm-optimization

Eleonora Riva Sanseverino; Maria Luisa Di Silvestre; Roberto Gallea

2013-04-01T23:59:59.000Z

119

Modeling and Optimizing the Thermal Stress Distribution in a ...  

Science Conference Proceedings (OSTI)

Conference Tools for Materials Science & Technology 2012 ... Presentation Title, Modeling and Optimizing the Thermal Stress Distribution in a Plasma Spray System for ... and analyzed for an applied thermal load in COMSOL® Multiphysics®.

120

Optimal Estimation of Hydrographic Station Data and Derived Fields  

Science Conference Proceedings (OSTI)

Optimal estimation is applied to contouring and analysis of hydrographic sections. Measured fields, such as temperature and salinity, and derived fields, such as geostrophic velocity, are decomposed into large-scale and small-scale components. ...

Dean Roemmich

1983-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "optimization cxs applied" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

OPTIMIZATION OF LONG RURAL FEEDERS USING A GENETIC ALGORITHM  

SciTech Connect

This paper describes the optimization of conductor size and the voltage regulator location and magnitude of long rural distribution lines. The optimization minimizes the lifetime cost of the lines, including capital costs and losses while observing voltage drop and operational constraints using a Genetic Algorithm (GA). The GA optimization is applied to a real Single Wire Earth Return (SWER) network in regional Queensland and results are presented.

Wishart, Michael; Ledwich, Gerard; Ghosh, Arindam [Queensland University of Technology, Brisbane, Queensland (Australia); Ivanovich, Grujica [Ergon Energy, Toowoomba, Queensland (Australia)

2010-06-15T23:59:59.000Z

122

Optimization Online Digest -- November 2004  

E-Print Network (OSTI)

Friedrich Eisenbrand, Gianpaolo Oriolo, Gautier Stauffer, Paolo Ventura. Convex and Nonsmooth Optimization Finding optimal algorithmic parameters using a ...

123

Optimization Online Digest -- July 2003  

E-Print Network (OSTI)

Mathematical optimization for the inverse problem of intensity modulated ... The global optimization of Morse clusters by potential energy transformations

124

Optimization Online Digest -- February 2013  

E-Print Network (OSTI)

Extension of Completely Positive Cone Relaxation to Polynomial Optimization ... Optimal Power Grid Protection through A Defender-Attacker-Defender Model

125

Optimization Online Digest -- February 2011  

E-Print Network (OSTI)

... Optimization for Power System Configuration with Renewable Energy in Remote Areas ... Robust Energy Cost Optimization of Water Distribution System with ...

126

Optimal segmentation and packaging process  

DOE Patents (OSTI)

A process for improving packaging efficiency uses three dimensional, computer simulated models with various optimization algorithms to determine the optimal segmentation process and packaging configurations based on constraints including container limitations. The present invention is applied to a process for decontaminating, decommissioning (D and D), and remediating a nuclear facility involving the segmentation and packaging of contaminated items in waste containers in order to minimize the number of cuts, maximize packaging density, and reduce worker radiation exposure. A three-dimensional, computer simulated, facility model of the contaminated items are created. The contaminated items are differentiated. The optimal location, orientation and sequence of the segmentation and packaging of the contaminated items is determined using the simulated model, the algorithms, and various constraints including container limitations. The cut locations and orientations are transposed to the simulated model. The contaminated items are actually segmented and packaged. The segmentation and packaging may be simulated beforehand. In addition, the contaminated items may be cataloged and recorded. 3 figs.

Kostelnik, K.M.; Meservey, R.H.; Landon, M.D.

1999-08-10T23:59:59.000Z

127

Abstract--A bi-objective optimization model of power and power changes generated by a wind turbine is discussed in this  

E-Print Network (OSTI)

for optimizing the power of the DFIG (Doubly Fed Induction Generator). Abdelli et al. [5] applied a multi

Kusiak, Andrew

128

Energy optimization system  

DOE Patents (OSTI)

A system for optimizing customer utility usage in a utility network of customer sites, each having one or more utility devices, where customer site is communicated between each of the customer sites and an optimization server having software for optimizing customer utility usage over one or more networks, including private and public networks. A customer site model for each of the customer sites is generated based upon the customer site information, and the customer utility usage is optimized based upon the customer site information and the customer site model. The optimization server can be hosted by an external source or within the customer site. In addition, the optimization processing can be partitioned between the customer site and an external source.

Zhou, Zhi; de Bedout, Juan Manuel; Kern, John Michael; Biyik, Emrah; Chandra, Ramu Sharat

2013-01-22T23:59:59.000Z

129

Cooling Plant Optimization Guide  

Science Conference Proceedings (OSTI)

Central cooling plants or district cooling systems account for 22 percent of energy costs for cooling commercial buildings. Improving the efficiency of central cooling plants will significantly impact peak demand and energy usage for both building owners and utilities. This guide identifies opportunities for optimizing a central cooling plant and provides a simplified optimization procedure. The guide focuses on plant optimization from the standpoint of minimizing energy costs and maximizing efficiencies...

1998-09-29T23:59:59.000Z

130

Optimization Online - Test  

E-Print Network (OSTI)

Jan 25, 2006 ... Test. Andrew Goldberg (goldberg ***at*** cs.wisc.edu). Abstract: Test. Keywords: Test. Category 1: Infinite Dimensional Optimization ...

131

Nonlinear Optimization Test  

E-Print Network (OSTI)

Jun 8, 2000 ... Nonlinear Optimization Test Goux Jean-Pierre Abstract : this is my abstract. Keywords : this are keywords. Citation: : this is a citation. Download ...

132

Postscript - Optimization Online  

E-Print Network (OSTI)

design of an industrial electric motor. This allows to show that ...... We consider the optimal design of Interior Permanent Magnet (IPM) syn-. chronous motors [19

133

Distributionally Robust Convex Optimization  

E-Print Network (OSTI)

function of the respective optimization problem, and the upper curve reports the out-of-sample results from a .... Duxbury Thomson Learning, 2nd edition, 2002.

134

Multi-step perturbation solution of nonlinear differentiable equations applied to an econometric analysis of productivity  

Science Conference Proceedings (OSTI)

Fourth-order multi-step perturbation (MSP) is described and applied as a general method for numerically solving nonlinear, differentiable, algebraic equations which are first-order conditions of economic optimization problems. MSP is first described ...

Baoline Chen; Peter A. Zadrozny

2009-04-01T23:59:59.000Z

135

Homotopy optimization methods for global optimization.  

SciTech Connect

We define a new method for global optimization, the Homotopy Optimization Method (HOM). This method differs from previous homotopy and continuation methods in that its aim is to find a minimizer for each of a set of values of the homotopy parameter, rather than to follow a path of minimizers. We define a second method, called HOPE, by allowing HOM to follow an ensemble of points obtained by perturbation of previous ones. We relate this new method to standard methods such as simulated annealing and show under what circumstances it is superior. We present results of extensive numerical experiments demonstrating performance of HOM and HOPE.

Dunlavy, Daniel M.; O'Leary, Dianne P. (University of Maryland, College Park, MD)

2005-12-01T23:59:59.000Z

136

CX-010458: Categorical Exclusion Determination  

Energy.gov (U.S. Department of Energy (DOE))

Multi-Objective Optimal Sensor Placement Under Uncertainty for Advanced Power Systems CX(s) Applied: A9 Date: 06/12/2013 Location(s): Illinois Offices(s): National Energy Technology Laboratory

137

CX-010687: Categorical Exclusion Determination  

Energy.gov (U.S. Department of Energy (DOE))

Optimization Project Area #1 CX(s) Applied: B2.5, B5.2, B5.4, B5.5 Date: 07/26/2013 Location(s): Wyoming Offices(s): RMOTC

138

CX-010688: Categorical Exclusion Determination  

Energy.gov (U.S. Department of Energy (DOE))

Optimization Project #3 CX(s) Applied: B2.5, B5.2, B5.4, B5.5 Date: 07/26/2013 Location(s): Wyoming Offices(s): RMOTC

139

CX-009906: Categorical Exclusion Determinatio | Department of...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Exclusion Determinatio Optimized Co-Processing of Algal Bio-Crude through a Petroleum Refinery CX(s) Applied: A9, B3.6, B5.15 Date: 01152013 Location(s): California, New...

140

Categorical Exclusion Determinations: California | Department...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Exclusion Determinatio Optimized Co-Processing of Algal Bio-Crude through a Petroleum Refinery CX(s) Applied: A9, B3.6, B5.15 Date: 01152013 Location(s): California, New...

Note: This page contains sample records for the topic "optimization cxs applied" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

Categorical Exclusion Determinations: Office of Energy Efficiency...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Energy December 30, 2010 CX-004860: Categorical Exclusion Determination Watershed Scale Optimization to Meet Sustainable Cellulosic Energy Crop Demand CX(s) Applied: A9, B3.1...

142

CX-002154: Categorical Exclusion Determination | Department of...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Act: DeepCwind Consortium National Research Program: Validation of Coupled Models and Optimization of Materials for Offshore Wind Structures CX(s) Applied: B3.1, B3.3, B3.6, A9...

143

CX-010541: Categorical Exclusion Determination  

Energy.gov (U.S. Department of Energy (DOE))

Optimization Project Area #2 CX(s) Applied: B2.5, B5.2, B5.4, B5.5 Date: 06/28/2013 Location(s): Wyoming Offices(s): RMOTC

144

Page not found | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

State Energy Program Conductor Optimized Rotary Energy Mega-Watt Scale Direct Wind Generator CX(s) Applied: A9, B5.1 Date: 09292010 Location(s): Ronan, Montana...

145

CX-009855: Categorical Exclusion Determination | Department of...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

of Geographical Information System-Based Tool for Optimized Fluid Management in Shale Gas Operations CX(s) Applied: A9, A11, B3.6 Date: 01182013 Location(s): Colorado...

146

Cost optimization of a hybrid composite flywheel rotor with a split-type hub using combined analytical/numerical models  

Science Conference Proceedings (OSTI)

A procedure to find the optimal design of a flywheel with a split-type hub is presented. Since cost plays a decisive role in stationary flywheel energy storage applications, a trade-off between energy and cost is required. Applying a scaling technique, ... Keywords: Cost optimization, Flywheel energy storage, Flywheel rotors, Multifidelity optimization, Split-type hub, Surrogate-based optimization

Malte Krack; Marc Secanell; Pierre Mertiny

2011-07-01T23:59:59.000Z

147

Monkey search: a novel metaheuristic search for global optimization  

Science Conference Proceedings (OSTI)

We propose a novel metaheuristic search for global optimization inspired by the behavior of a monkey climbing trees looking for food. The tree branches are represented as perturbations between two neighboring feasible solutions of the considered global optimization problem. The monkey mark and update these branches leading to good solutions as it climbs up and down the tree. A wide selection of perturbations can be applied based on other metaheuristic methods for global optimization. We show that Monkey Search is competitive compared to the other metaheuristic methods for optimizing Lennard?Jones and Morse clusters

Antonio Mucherino; Onur Seref

2007-01-01T23:59:59.000Z

148

The Applied Mathematics for Power Systems (AMPS)  

SciTech Connect

Increased deployment of new technologies, e.g., renewable generation and electric vehicles, is rapidly transforming electrical power networks by crossing previously distinct spatiotemporal scales and invalidating many traditional approaches for designing, analyzing, and operating power grids. This trend is expected to accelerate over the coming years, bringing the disruptive challenge of complexity, but also opportunities to deliver unprecedented efficiency and reliability. Our Applied Mathematics for Power Systems (AMPS) Center will discover, enable, and solve emerging mathematics challenges arising in power systems and, more generally, in complex engineered networks. We will develop foundational applied mathematics resulting in rigorous algorithms and simulation toolboxes for modern and future engineered networks. The AMPS Center deconstruction/reconstruction approach 'deconstructs' complex networks into sub-problems within non-separable spatiotemporal scales, a missing step in 20th century modeling of engineered networks. These sub-problems are addressed within the appropriate AMPS foundational pillar - complex systems, control theory, and optimization theory - and merged or 'reconstructed' at their boundaries into more general mathematical descriptions of complex engineered networks where important new questions are formulated and attacked. These two steps, iterated multiple times, will bridge the growing chasm between the legacy power grid and its future as a complex engineered network.

Chertkov, Michael [Los Alamos National Laboratory

2012-07-24T23:59:59.000Z

149

Web-based tools for finding optimal designs in biomedical studies  

Science Conference Proceedings (OSTI)

Experimental costs are rising and applications of optimal design ideas are increasingly applied in many disciplines. However, the theory for constructing optimal designs can be esoteric and its implementation can be difficult. To help practitioners have ... Keywords: Continuous design, Dose response design, Multiple-objective optimal design

Weng Kee Wong

2013-09-01T23:59:59.000Z

150

Decentralized optimal neuro-controllers for generation and transmission devices in an electric power network  

Science Conference Proceedings (OSTI)

In this paper, the dual heuristic programming (DHP) optimization algorithm is applied for the design of two LOCAL nonlinear optimal neuro-controllers on a practical multi-machine power system. One neuro-controller is designed to replace the conventional ... Keywords: Decentralized control, Dual heuristic programming, Optimal neuro-controller, Power network, Series capacitive reactance compensator

Jung-Wook Park; Ronald G. Harley; Ganesh K. Venayagamoorthy

2005-02-01T23:59:59.000Z

151

Source Code Optimization and Pro ling of Energy Consumption in Embedded Systems  

E-Print Network (OSTI)

Energy Model L2 Cache Memory L1 Cache Energy Model Energy Model Processor Core Model DC-DC ConverterSource Code Optimization and Pro ling of Energy Consumption in Embedded Systems Tajana Simunic in optimizing software performance and energy in embed- ded systems. Code optimizations are applied at three

Simunic, Tajana

152

Extended Brugge benchmark case for history matching and water flooding optimization  

Science Conference Proceedings (OSTI)

The Brugge benchmark case designed for the SPE Applied Technology Workshop (ATW) held in Brugge in June 2008 has proven to be valuable for testing and comparing methods of history matching, production optimization and closed-loop optimization by its ... Keywords: Closed loop reservoir management, History matching, Life-cycle production optimization

E. Peters; Y. Chen; O. Leeuwenburgh; D. S. Oliver

2013-01-01T23:59:59.000Z

153

Optimal design of aeroengine turbine disc based on kriging surrogate models  

Science Conference Proceedings (OSTI)

A design optimization method based on kriging surrogate models is proposed and applied to the shape optimization of an aeroengine turbine disc. The kriging surrogate model is built to provide rapid approximations of time-consuming computations. For improving ... Keywords: Design of experiments, Differential evolutionary algorithm, Kriging method, Optimal design, Surrogate model, Turbine disc

Zhangjun Huang; Chengen Wang; Jian Chen; Hong Tian

2011-01-01T23:59:59.000Z

154

Application of genetic algorithm to optimize burnable poison placement in pressurized water reactors  

Science Conference Proceedings (OSTI)

An efficient and a practical genetic algorithm tool was developed and applied successfully to Burnable Poisons (BPs) placement optimization problem in the reference Three Mile Island-1 (TMI-1) core. Core BP optimization problem means developing a BP ... Keywords: burnable poison, decision variables, gadolinium, genetic algorithm, nuclear, optimization, reactor

Serkan Yilmaz; Kostadin Ivanov; Samuel Levine

2005-06-01T23:59:59.000Z

155

Optimization Online - Optimal Job Scheduling with Day-ahead Price ...  

E-Print Network (OSTI)

Aug 17, 2011 ... Optimization Online. Optimal Job Scheduling with Day-ahead Price and Random Local Distributed Generation: A Two-stage Robust Approach.

156

Power optimized programmable embedded controller  

E-Print Network (OSTI)

Now a days, power has become a primary consideration in hardware design, and is critical in computer systems especially for portable devices with high performance and more functionality. Clock-gating is the most common technique used for reducing processor's power. In this work clock gating technique is applied to optimize the power of fully programmable Embedded Controller (PEC) employing RISC architecture. The CPU designed supports i) smart instruction set, ii) I/O port, UART iii) on-chip clocking to provide a range of frequencies , iv) RISC as well as controller concepts. The whole design is captured using VHDL and is implemented on FPGA chip using Xilinx .The architecture and clock gating technique together is found to reduce the power consumption by 33.33% of total power consumed by this chip.

Kamaraju, M; Tilak, A V N; 10.5121/ijcnc.2010.2409

2010-01-01T23:59:59.000Z

157

Risk and robust optimization  

E-Print Network (OSTI)

This thesis develops and explores the connections between risk theory and robust optimization. Specifically, we show that there is a one-to-one correspondence between a class of risk measures known as coherent risk measures ...

Brown, David Benjamin, Ph. D. Massachusetts Institute of Technology

2006-01-01T23:59:59.000Z

158

Polyethylene fiber drawing optimization  

E-Print Network (OSTI)

Polymer fiber drawing creates fibers with enhanced thermal conductivity and strength compared to bulk polymer because drawing aligns the molecular chains. I optimize the polymer fiber drawing method in order to achieve ...

Chiloyan, Vazrik

2011-01-01T23:59:59.000Z

159

Optimizing workflow data footprint  

Science Conference Proceedings (OSTI)

In this paper we examine the issue of optimizing disk usage and scheduling large-scale scientific workflows onto distributed resources where the workflows are data-intensive, requiring large amounts of data storage, and the resources have limited storage ...

Gurmeet Singh; Karan Vahi; Arun Ramakrishnan; Gaurang Mehta; Ewa Deelman; Henan Zhao; Rizos Sakellariou; Kent Blackburn; Duncan Brown; Stephen Fairhurst; David Meyers; G. Bruce Berriman; John Good; Daniel S. Katz

2007-12-01T23:59:59.000Z

160

Optimal transport strategies  

E-Print Network (OSTI)

It is generally presupposed that the shapes and mechanisms encountered in nature have evolved in such a way as to maximize the robustness of a species. However, most such optimization problems arising in biology are ...

Kim, Wonjung, Ph. D. Massachusetts Institute of Technology

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "optimization cxs applied" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

Optimal distance separating halfspace  

E-Print Network (OSTI)

Plastria & Carrizosa / Optimal distance separating halfspace. 2. 1 Gauge Distance to a Hyperplane. Let ? be a gauge on Rd with unit ball B, i.e. B is a compact ...

162

Optimization of Hot Standby  

E-Print Network (OSTI)

Energy Optimization is one of the key issues facing the chemical process industries today. The drivers are both economic and environmental. Utilities are among the top operating expenses for manufacturers, reflecting elevated energy prices and the energy

de Souza, J.; Holden, D.

2004-01-01T23:59:59.000Z

163

1052.ps - Optimization Online  

E-Print Network (OSTI)

a natural approach of formulating problems where it is necessary to simultaneously. optimize the system ... deign of gas or water transmission networks. ..... region of the linear programming relaxation is compressed because of the decrease.

164

1093.ps - Optimization Online  

E-Print Network (OSTI)

The Semidefinite Program (SDP) is a fundamental problem in mathematical .... SDPs arising from quantum chemistry [11, 24] and polynomial optimization [17, 19], ...... R. Saigal and L. Vandenberghe, Handbook of Semidefinite Programming ,.

165

View - Optimization Online  

E-Print Network (OSTI)

accuracy and v(xk) is not sufficiently small, or if the new constraint violation satisfies ...... RRR 12-94, Rutgers University, New Brunswick, NJ, USA. ... Nonlinear Optimization, Technical Report, Rutherford Appleton Laboratory, Chilton, Ox-.

166

Optimal Parametric Auctions  

E-Print Network (OSTI)

We study the problem of profit maximization in auctions of one good where the buyers' valuations are drawn from independent distributions. When these distributions are known to the seller, Myerson's optimal auction is a ...

Azar, Pablo

2012-05-08T23:59:59.000Z

167

Vehicle Technologies Office: Applied Battery Research  

NLE Websites -- All DOE Office Websites (Extended Search)

Applied Battery Research to someone by E-mail Share Vehicle Technologies Office: Applied Battery Research on Facebook Tweet about Vehicle Technologies Office: Applied Battery...

168

BNL | Accelerators for Applied Research  

NLE Websites -- All DOE Office Websites (Extended Search)

Accelerators for Applied Research Accelerators for Applied Research Brookhaven National Lab operates several accelerator facilities dedicated to applied research. These facilities directly address questions and concerns on a tremendous range of fields, including medical imaging, cancer therapy, computation, and space exploration. Leading scientists lend their expertise to these accelerators and offer crucial assistant to collaborating researchers, pushing the limits of science and technology. Interested in gaining access to these facilities for research? See the contact number listed for each facility. RHIC tunnel Brookhaven Linac Isotope Producer The Brookhaven Linac Isoptope Producer (BLIP)-positioned at the forefront of research into radioisotopes used in cancer treatment and diagnosis-produces commercially unavailable radioisotopes for use by the

169

Robust optimization of intensity modulated proton therapy  

SciTech Connect

Purpose: Intensity modulated proton therapy (IMPT) is highly sensitive to range uncertainties and uncertainties caused by setup variation. The conventional inverse treatment planning of IMPT optimized based on the planning target volume (PTV) is not often sufficient to ensure robustness of treatment plans. In this paper, a method that takes the uncertainties into account during plan optimization is used to mitigate the influence of uncertainties in IMPT. Methods: The authors use the so-called ''worst-case robust optimization'' to render IMPT plans robust in the face of uncertainties. For each iteration, nine different dose distributions are computed--one each for {+-} setup uncertainties along anteroposterior (A-P), lateral (R-L) and superior-inferior (S-I) directions, for {+-} range uncertainty, and the nominal dose distribution. The worst-case dose distribution is obtained by assigning the lowest dose among the nine doses to each voxel in the clinical target volume (CTV) and the highest dose to each voxel outside the CTV. Conceptually, the use of worst-case dose distribution is similar to the dose distribution achieved based on the use of PTV in traditional planning. The objective function value for a given iteration is computed using this worst-case dose distribution. The objective function used has been extended to further constrain the target dose inhomogeneity. Results: The worst-case robust optimization method is applied to a lung case, a skull base case, and a prostate case. Compared with IMPT plans optimized using conventional methods based on the PTV, our method yields plans that are considerably less sensitive to range and setup uncertainties. An interesting finding of the work presented here is that, in addition to reducing sensitivity to uncertainties, robust optimization also leads to improved optimality of treatment plans compared to the PTV-based optimization. This is reflected in reduction in plan scores and in the lower normal tissue doses for the same coverage of the target volume when subjected to uncertainties. Conclusions: The authors find that the worst-case robust optimization provides robust target coverage without sacrificing, and possibly even improving, the sparing of normal tissues. Our results demonstrate the importance of robust optimization. The authors assert that all IMPT plans should be robustly optimized.

Liu Wei; Zhang Xiaodong; Li Yupeng; Mohan, Radhe [Department of Radiation Physics, University of Texas MD Anderson Cancer Center, Houston, Texas 77030 (United States)

2012-02-15T23:59:59.000Z

170

Applying Learnable Evolution Model to Heat Exchanger Design Kenneth A. Kaufman and Ryszard S. Michalski*  

E-Print Network (OSTI)

Applying Learnable Evolution Model to Heat Exchanger Design Kenneth A. Kaufman and Ryszard S), has been applied to the problem of optimizing tube structures of heat exchangers. In contrast. A system, ISHED1, based on LEM, automatically searches for the highest capacity heat exchangers under given

Michalski, Ryszard S.

171

Robust Portfolio Optimization with Derivative Insurance Guarantees  

E-Print Network (OSTI)

Robust portfolio optimization aims to maximize the worst-case portfolio return given that the asset returns are allowed to vary within a prescribed uncertainty set. If the uncertainty set is not too large, the resulting portfolio performs well under normal market conditions. However, its performance may substantially degrade in the presence of market crashes, that is, if the asset returns materialize far outside of the uncertainty set. We propose a novel robust optimization model for designing portfolios that include European-style options. This model trades o weak and strong guarantees on the worst-case portfolio return. The weak guarantee applies as long as the asset returns are realized within the prescribed uncertainty set, while the strong guarantee applies for all possible asset returns. The resulting model constitutes a convex second-order cone program, which is amenable to e cient numerical solution procedures. We evaluate the model using simulated and empirical backtests and analyze the impact of the insurance guarantees on the portfolio performance. Key words: robust optimization, portfolio optimization, portfolio insurance, second-order cone programming. 1

Steve Zymler; Berç Rustem; Daniel Kuhn

2010-01-01T23:59:59.000Z

172

CRC handbook of applied thermodynamics  

Science Conference Proceedings (OSTI)

The emphasis of this book is on applied thermodynamics, featuring the stage of development of a process rather than the logical development of thermodynamic principles. It is organized according to the types of problems encountered in industry, such as probing research, process assessment, and process development. The applied principles presented can be used in most areas of industry including oil and gas production and processing, chemical processing, power generation, polymer production, food processing, synthetic fuels production, specialty chemicals and pharmaceuticals production, bioengineered processes, etc.

Palmer, D.A. (Amoco Chemical Corp., Naperville, IL (USA). Research and Development Dept.)

1987-01-01T23:59:59.000Z

173

Optimization Online Digest -- January 2001  

E-Print Network (OSTI)

E. Alper Yildirim, Michael J. Todd. Network Optimization Newton Algorithms for Large-Scale Strictly Convex Separable Network Optimization Aleksandar Donev  ...

174

Mixed-Integer Nonlinear Optimization  

E-Print Network (OSTI)

Nov 22, 2012 ... Our goal is to find the minimum cost design by choosing optimal ..... et al., 1998), the optimal response to catastrophic oil spills such as the ...

175

Optimization of Lithium Titanate Electrodes  

NLE Websites -- All DOE Office Websites (Extended Search)

Optimization of Lithium Titanate Electrodes Title Optimization of Lithium Titanate Electrodes Publication Type Journal Article Year of Publication 2006 Authors Christensen, John,...

176

Optimization Online Digest -- January 2013  

E-Print Network (OSTI)

Optimization Online Digest — January 2013. Applications — OR and Management Sciences A two-step optimization approach for job shop scheduling problem ...

177

CRC handbook of applied thermodynamics  

Science Conference Proceedings (OSTI)

This book feature an overview of the importance of physical properties and thermodynamics; and the use of thermodynamics to predict the extent of reaction in proposed new chemical combinations. The use of special types of data and prediction methods to develop flowsheets for probing projects; and sources of critically evaluated data, dividing the published works into three categories depending on quality are given. Methods of doing one's own critical evaluation of literature, a list of known North American contract experimentalist with the types of data measured by each, methods for measuring equilibrium data, and thermodynamic concepts to carry out process optimization are also featured.

Palmer, D.A. (Amoco Chemical Co., Naperville, IL (United States). Research and Development Dept.)

1987-01-01T23:59:59.000Z

178

California Energy Commission Apply Today!  

E-Print Network (OSTI)

photovoltaic project in the future. Peak Demand Savings: 95 kW Energy Savings: 1,510,849 kWh Annual Energy CostCalifornia Energy Commission Apply Today! "The College implemented all of the recommended projects Programs Office (916) 654-4147 pubprog@energy.state.ca.us "CEC financing allowed us to install many

179

implementing bioenergy applied research & development  

E-Print Network (OSTI)

1 A Northern Centre for Renewable Energy implementing bioenergy applied research & development plant measures to become carbon neutral and operate on renewable energy. UNBC is uniquely positioned for Climate Solutions, and UNBC. The Green University Centre will be a model of energy efficiency

Northern British Columbia, University of

180

Control vector optimal structure for minimal-time networks optimization  

Science Conference Proceedings (OSTI)

The methodology for the electronic networks optimization was elaborated by means of the optimal control theory approach. In this case the problem of the electronic system design is formulated as a classical problem of functional minimization of the optimal ... Keywords: Lyapunov function, circuit optimization, control theory application, minimal-time system design

Alexander Zemliak; Miguel Torres; Antonio Michua

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "optimization cxs applied" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

Optimization strategies for discrete multi-material stiffness optimization  

Science Conference Proceedings (OSTI)

Design of composite laminated lay-ups are formulated as discrete multi-material selection problems. The design problem can be modeled as a non-convex mixed-integer optimization problem. Such problems are in general only solvable to global optimality ... Keywords: Integer optimization, Laminated composite materials, Optimal design, Sensitivity analysis, Solution strategies

Christian Frier Hvejsel; Erik Lund; Mathias Stolpe

2011-08-01T23:59:59.000Z

182

Hopper Performance and Optimization  

NLE Websites -- All DOE Office Websites (Extended Search)

Optimization Optimization Performance and Optimization Compiler Comparisons Comparison of different compilers with different options on several benchmarks. Read More » Using OpenMP Effectively Performance implications and case studies of codes combining MPI and OpenMP Read More » Reordering MPI Ranks Reordering MPI ranks can result in improved application performance depending on the communication patterns of the application. Read More » Application Performance Variability on Hopper How an application is placed across Hopper's roughly 6300 compute nodes can affect its performance. See a study of application runtimes vs node placement. Read More » Hopper Performance Monitoring Benchmarking performance of scientific applications on Hopper Read More » Hopper:Improving I/O performance to GSCRATCH and PROJECT

183

Reverse Osmosis Optimization  

SciTech Connect

This technology evaluation was prepared by Pacific Northwest National Laboratory on behalf of the U.S. Department of Energy’s Federal Energy Management Program (FEMP). ¬The technology evaluation assesses techniques for optimizing reverse osmosis (RO) systems to increase RO system performance and water efficiency. This evaluation provides a general description of RO systems, the influence of RO systems on water use, and key areas where RO systems can be optimized to reduce water and energy consumption. The evaluation is intended to help facility managers at Federal sites understand the basic concepts of the RO process and system optimization options, enabling them to make informed decisions during the system design process for either new projects or recommissioning of existing equipment. This evaluation is focused on commercial-sized RO systems generally treating more than 80 gallons per hour.¬

McMordie-Stoughton, Katherine L.; Duan, Xiaoli; Wendel, Emily M.

2013-08-26T23:59:59.000Z

184

2005 - Optimization Online  

E-Print Network (OSTI)

Jan 17, 2006 ... Your social security number. Spouse's social security number. State. Telephone number. Zip code. Check the boxes below which apply to you.

185

Distributed Optimization System  

DOE Patents (OSTI)

A search system and method for controlling multiple agents to optimize an objective using distributed sensing and cooperative control. The search agent can be one or more physical agents, such as a robot, and can be software agents for searching cyberspace. The objective can be: chemical sources, temperature sources, radiation sources, light sources, evaders, trespassers, explosive sources, time dependent sources, time independent sources, function surfaces, maximization points, minimization points, and optimal control of a system such as a communication system, an economy, a crane, and a multi-processor computer.

Hurtado, John E. (Albuquerque, NM); Dohrmann, Clark R. (Albuquerque, NM); Robinett, III, Rush D. (Tijeras, NM)

2004-11-30T23:59:59.000Z

186

Simulated Annealing For The Optimization Of Chemical Batch Production Processes  

E-Print Network (OSTI)

Batch distillation processes are widely used in chemical industry. In this work, we consider the optimization of such processes by simulated annealing. Although this method is stochastically in nature, it has two evitable advantages: it can be readily connected to highly sophisticated simulation codes and it converges towards a global optimum. According to the characteristics of batch distillation operation we propose to use a two-step computation approach. A feasible strategy (admissible control) will be searched for in the first step and it will be optimized in the second step. The approach has been applied to three models of batch distillation ranging from a simple test example to a real production system. These results show the potential of the method for developing optimal operation strategies for batch chemical processes. Keywords: batch distillation, simulated annealing, dynamic optimization. 1 Introduction The determination of optimal control strategies for chemical processe...

Michael Hanke; Pu Li

1998-01-01T23:59:59.000Z

187

Holistic ship design optimization  

Science Conference Proceedings (OSTI)

Ship design is a complex endeavor requiring the successful coordination of many disciplines, of both technical and non-technical nature, and of individual experts to arrive at valuable design solutions. Inherently coupled with the design process is design ... Keywords: Enhanced survivability, Genetic algorithms, Holistic ship design, Minimization of resistance and wash, Multi-objective optimization

Apostolos Papanikolaou

2010-11-01T23:59:59.000Z

188

Cooling Water System Optimization  

E-Print Network (OSTI)

During summer months, many manufacturing plants have to cut back in rates because the cooling water system is not providing sufficient cooling to support higher production rates. There are many low/no-cost techniques available to improve tower performance. To understand the importance of the optimization techniques, cooling tower theory will be discussed first.

Aegerter, R.

2005-01-01T23:59:59.000Z

189

933.ps - Optimization Online  

E-Print Network (OSTI)

Aug 30, 2004 ... optimization problem on a ner grid (see Griewank and Toint, 1982, Banks, Gill and .... clear that n is typically large, since it usually grows as some power of the ...... extensions to be possible and the resulting algorithms to be of ...

190

Optimization in Mung Chiang  

E-Print Network (OSTI)

Optimization in Networking Mung Chiang Princeton University 10th MOPTA August 18, 2010 #12;Routing variables {xl, s} #12;Power Control P. Hande,S. Rangan, M. Chiang, X. Wu, "Distributed uplink power control. Chen, S. Liu, S. Sengputa, M. Chiang, J. Li, and P. A. Chou, "P2P streaming capacity", IEEE

Chiang, Mung

191

Designed Diamond Ground State via Optimized Isotropic Monotonic Pair Potentials  

E-Print Network (OSTI)

We apply inverse statistical-mechanical methods to find a simple family of optimized isotropic, monotonic pair potentials, under certain constraints, whose ground states for a wide range of pressures is the diamond crystal. These constraints include desirable phonon spectra and the widest possible pressure range for stability. We also ascertain the ground-state phase diagram for a specific optimized potential to show that other crystal structures arise for other pressures. Cooling disordered configurations interacting with our optimized potential to absolute zero frequently leads to the desired diamond crystal ground state, revealing that the capture basin for the global energy minimum is large and broad relative to the local energy minima basins.

Etienne Marcotte; Frank H. Stillinger; Salvatore Torquato

2012-12-15T23:59:59.000Z

192

GLOBAL OPTIMIZATION METHODS FOR GRAVITATIONAL LENS SYSTEMS WITH REGULARIZED SOURCES  

SciTech Connect

Several approaches exist to model gravitational lens systems. In this study, we apply global optimization methods to find the optimal set of lens parameters using a genetic algorithm. We treat the full optimization procedure as a two-step process: an analytical description of the source plane intensity distribution is used to find an initial approximation to the optimal lens parameters; the second stage of the optimization uses a pixelated source plane with the semilinear method to determine an optimal source. Regularization is handled by means of an iterative method and the generalized cross validation (GCV) and unbiased predictive risk estimator (UPRE) functions that are commonly used in standard image deconvolution problems. This approach simultaneously estimates the optimal regularization parameter and the number of degrees of freedom in the source. Using the GCV and UPRE functions, we are able to justify an estimation of the number of source degrees of freedom found in previous work. We test our approach by applying our code to a subset of the lens systems included in the SLACS survey.

Rogers, Adam; Fiege, Jason D. [Department of Physics and Astronomy, University of Manitoba, Winnipeg, Manitoba, R3T-2N2 (Canada)

2012-11-01T23:59:59.000Z

193

Distributed control applied to combined electricity and natural gas infrastructures  

E-Print Network (OSTI)

Abstract — The optimization of combined electricity and natural gas systems is addressed in this paper. The two networks are connected via energy hubs. Using the energy hub concept, the interactions between the different infrastructures can be analyzed. A system consisting of several interconnected hubs forms a distributed power generation structure where each hub is controlled by its respective control agent. Recently, a distributed control method has been applied to such a system. The overall optimization problem including the entire system is decomposed into subproblems according to the control agents. In this paper, a parallel and serial version of that method is discussed. Simulation results are obtained through experiments on a three-hub benchmark system. I.

Michèle Arnold; Rudy R. Negenborn; Göran Andersson; Bart De Schutter

2008-01-01T23:59:59.000Z

194

Simulation-based optimization: practical introduction to simulation optimization  

Science Conference Proceedings (OSTI)

The merging of optimization and simulation technologies has seen a rapid growth in recent years. A Google search on "Simulation Optimization" returns more than six thousand pages where this phrase appears. The content of these pages ranges from articles, ...

Jay April; Fred Glover; James P. Kelly; Manuel Laguna

2003-12-01T23:59:59.000Z

195

EERE Postdoctoral Research Awards: How to Apply  

NLE Websites -- All DOE Office Websites (Extended Search)

How to Apply to someone by E-mail Share EERE Postdoctoral Research Awards: How to Apply on Facebook Tweet about EERE Postdoctoral Research Awards: How to Apply on Twitter Bookmark...

196

THREE ESSAYS ON APPLIED ECONOMICS  

E-Print Network (OSTI)

In this dissertation three essays were presented. In the first two essays we measure the consumer welfare changes caused by U.S. meat price changes. In the third essay the dynamic structure of international gasoline prices using the time series methodology is investigated. In chapter II, we investigate the U.S. consumer behavior on meat consumption depending on a linear expenditure system (LES), and then we simulate the welfare effects of a set of price changes on the U.S. meat consumption. The simulation results show that the amount of consumer welfare change for each meat is not same across the meats under the same percentage change of price. The simulation results also show that when all the prices are doubled the total amount of CV reaches almost the same amount of current total quarterly expenditures for the three meats. In chapter III, we apply the compensating variation (CV) approach for the measurement of consumer welfare losses associated with beef price changes. We applied the long-run cointegrating relationship in vector error correction model (VECM) to estimate the Marshallian demand function. Apparently, the use of long-run cointegration in VECM in deriving the direct Marshallian demand function to measure the consumer welfare change is the first attempt in the literature. This is one of the contributions of the study. The simulation results show that the amount of consumer welfare change for beef is compatible with the one derived from LES methodology. In chapter IV, an empirical framework to summarize the interdependence of four international gasoline markets (New York, U.S. Gulf Coast, Rotterdam and Singapore) is presented. For that purpose, we employ a structural VECM and directed acyclic graphs (DAGs). To solve the identification problem in structural VECM, we apply DAGs derived from contemporaneous VECM innovations. The impulse response functions show that the time period in which a shock in a market affects the other market is very short. Forecast error variance decompositions (FEVD) shows that in all markets, except the U.S. Gulf Coast market, current and past shocks in their own market explained the most of the volatility in their own market in the Short-run.

Shin, Sang-Cheol

2008-08-01T23:59:59.000Z

197

Applied Materials | Open Energy Information  

Open Energy Info (EERE)

Materials Materials Jump to: navigation, search Name Applied Materials Address 3050 Bowers Avenue Place Santa Clara, California Zip 95054 Sector Solar Stock Symbol AMAT Website http://www.appliedmaterials.co Coordinates 37.3775749°, -121.9794416° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.3775749,"lon":-121.9794416,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

198

Weatherization and Intergovernmental Program: Apply for Weatherization  

NLE Websites -- All DOE Office Websites (Extended Search)

Apply Apply for Weatherization Assistance to someone by E-mail Share Weatherization and Intergovernmental Program: Apply for Weatherization Assistance on Facebook Tweet about Weatherization and Intergovernmental Program: Apply for Weatherization Assistance on Twitter Bookmark Weatherization and Intergovernmental Program: Apply for Weatherization Assistance on Google Bookmark Weatherization and Intergovernmental Program: Apply for Weatherization Assistance on Delicious Rank Weatherization and Intergovernmental Program: Apply for Weatherization Assistance on Digg Find More places to share Weatherization and Intergovernmental Program: Apply for Weatherization Assistance on AddThis.com... Plans, Implementation, & Results Weatherization Assistance Program Weatherization Services

199

Vehicle Technologies Office: Applied Battery Research  

NLE Websites -- All DOE Office Websites (Extended Search)

Applied Battery Research Applied battery research addresses the barriers facing the lithium-ion systems that are closest to meeting the technical energy and power requirements for...

200

1223.ps - Optimization Online  

E-Print Network (OSTI)

marine. 15. 16. 15. 16. 15. 16. 15. 16. 29. 30. methanol. 15. 19. 19. 23. 19. 23 .... updating rule, the power of Newton's method applied to an augmented primal- ...

Note: This page contains sample records for the topic "optimization cxs applied" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

Finding many optimal paths without growing any optimal path trees  

Science Conference Proceedings (OSTI)

Many algorithms seek to compute actual optimal paths in weighted directed graphs. The standard approach for reporting an actual optimal path is based on building a single-source optimal path tree. A technique was given in [1] for a class of problems ...

Danny Z. Chen; Ewa Misiolek

2007-07-01T23:59:59.000Z

202

Performance and Optimization  

NLE Websites -- All DOE Office Websites (Extended Search)

Performance and Performance and Optimization Performance and Optimization Benchmarking Software on Hopper and Carver PURPOSE Test the performance impact of multithreading with representative public domain software including blastn, blastp, rpsblast, hmmsearch, usearch. Run on Hopper (24 cores/node) and Carver (8 cores/node) with different combinations of the number of tasks and threads. Provide useful set of parameters to maximize throughput PROGRAMS TESTED BLAST+ programs (blastn, blastp, rpsblast) version 2.2.26 usearch verison 5.2.32 hmmsearch version 3.0 DATASETS usearch: a collection of protein sequences (~900MB) against a reference "udb" (~900MB) blastn Query: a collection of nucleotide sequences from NCBI Microbial database from ftp://ftp.ncbi.nlm.nih.gov/refseq/release/microbial/ (34,154

203

Stencil Computation Optimization  

NLE Websites -- All DOE Office Websites (Extended Search)

Stencil Stencil Computation Optimization and Auto-tuning on State-of-the-Art Multicore Architectures Kaushik Datta ∗† , Mark Murphy † , Vasily Volkov † , Samuel Williams ∗† , Jonathan Carter ∗ , Leonid Oliker ∗† , David Patterson ∗† , John Shalf ∗ , and Katherine Yelick ∗† ∗ CRD/NERSC, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA † Computer Science Division, University of California at Berkeley, Berkeley, CA 94720, USA Abstract Understanding the most efficient design and utilization of emerging multicore systems is one of the most chal- lenging questions faced by the mainstream and scientific computing industries in several decades. Our work ex- plores multicore stencil (nearest-neighbor) computations - a class of algorithms at the heart of many structured grid codes, including PDE solvers. We develop a number of effective optimization

204

Optimizing Power Using Transformations  

E-Print Network (OSTI)

: The increasing demand for portable computing has elevated power consumption to be one of the most critical design parameters. A high-level synthesis system, HYPER-LP, is presented for minimizing power consumption in application specific datapath intensive CMOS circuits using a variety of architectural and computational transformations. The synthesis environment consists of high-level estimation of power consumption, a library of transformation primitives, and heuristic/probabilistic optimization search mechanisms for fast and efficient scanning of the design space. Examples with varying degree of computational complexity and structures are optimized and synthesized using the HYPER-LP system. The results indicate that more than an order of magnitude reduction in power can be achieved over current-day design methodologies while maintaining the system throughput; in some cases this can be accomplished while preserving or reducing the implementation area. 1.0 Introduction VLSI research a...

Anantha P. Chandrakasan; Miodrag Potkonjak; Renu Mehra; Jan Rabaey; Robert W. Brodersen

1995-01-01T23:59:59.000Z

205

Socially Optimal Transport . . .  

E-Print Network (OSTI)

This paper investigates the amount and type of mobility (physical travel) that is optimal for society overall. It asks, “How much and what type of travel would people choose in a transportation system that reflects efficient market principles, including diverse consumer options, cost-based pricing, and neutral public policies.” It discusses these principles, identifies existing transport market distortions and reforms, estimates how such reforms would affect mobility, and investigates resulting economic impacts. This analysis indicates that in a more optimal market consumers would choose to drive less, use alternative modes more, choose more accessible locations, and be better off overall as a result. Although previous studies have evaluated these transport market reforms individually, few have considered their cumulative impacts.

Todd Litman

2011-01-01T23:59:59.000Z

206

Selected Isotopes for Optimized Fuel Assembly Tags  

SciTech Connect

In support of our ongoing signatures project we present information on 3 isotopes selected for possible application in optimized tags that could be applied to fuel assemblies to provide an objective measure of burnup. 1. Important factors for an optimized tag are compatibility with the reactor environment (corrosion resistance), low radioactive activation, at least 2 stable isotopes, moderate neutron absorption cross-section, which gives significant changes in isotope ratios over typical fuel assembly irradiation levels, and ease of measurement in the SIMS machine 2. From the candidate isotopes presented in the 3rd FY 08 Quarterly Report, the most promising appear to be Titanium, Hafnium, and Platinum. The other candidate isotopes (Iron, Tungsten, exhibited inadequate corrosion resistance and/or had neutron capture cross-sections either too high or too low for the burnup range of interest.

Gerlach, David C.; Mitchell, Mark R.; Reid, Bruce D.; Gesh, Christopher J.; Hurley, David E.

2008-10-01T23:59:59.000Z

207

HOMER® Micropower Optimization Model  

DOE Green Energy (OSTI)

NREL has developed the HOMER micropower optimization model. The model can analyze all of the available small power technologies individually and in hybrid configurations to identify least-cost solutions to energy requirements. This capability is valuable to a diverse set of energy professionals and applications. NREL has actively supported its growing user base and developed training programs around the model. These activities are helping to grow the global market for solar technologies.

Lilienthal, P.

2005-01-01T23:59:59.000Z

208

BNL | Computational Science Center | Applied Math  

NLE Websites -- All DOE Office Websites (Extended Search)

simulations associated with High Power Targets for Neutrino Factory Muon Collider, New Smart Grid: Algorithms for Real Time Optimization of Power Systems , Development of...

209

Power Systems Operation Planning Optimization.  

E-Print Network (OSTI)

??Optimal hydrothermal power dispatch on a multi-area network is a large-scale non-linear problem. Its objective is to find the optimal generation schedule of hydro and… (more)

FRAGOMENI, UMBERTO

2013-01-01T23:59:59.000Z

210

Adaptable optimization : theory and algorithms  

E-Print Network (OSTI)

Optimization under uncertainty is a central ingredient for analyzing and designing systems with incomplete information. This thesis addresses uncertainty in optimization, in a dynamic framework where information is revealed ...

Caramanis, Constantine (Constantine Michael), 1977-

2006-01-01T23:59:59.000Z

211

Social impact theory based optimizer  

Science Conference Proceedings (OSTI)

This paper introduces a novel stochastic and population-based binary optimization method inspired by social psychology. It is called Social Impact Theory based Optimization (SITO). The method has been developed with the use of some simple modifications ...

Martin Macaš; Lenka Lhotská

2007-09-01T23:59:59.000Z

212

Towards Applying Reengineering Services to Energy-Efficient Applications  

E-Print Network (OSTI)

Abstract—Conserving resources and saving energy has become an important issue for information and communication technology. With increasing adoption of smartphones and tablet PCs, reducing energy consumption in mobile computing is of particular significance. User expectations towards their mobile devices are rising, and functionality is increasing. Accordingly, available energy is made a scarce resource. This paper discusses how software reengineering techniques, like dynamic analysis and refactoring, can be applied to the field of energy-aware computing, to monitor, analyze, and optimize the energy profile of mobile applications and devices.

Jan Jelschen Marion Gottschalk

2012-01-01T23:59:59.000Z

213

Applying Learnable Evolution Model to Heat Exchanger Design  

E-Print Network (OSTI)

A new approach to evolutionary computation, called Learnable Evolution Model (LEM), has been applied to the problem of optimizing tube structures of heat exchangers. In contrast to conventional Darwiniantype evolutionary computation algorithms that use various forms of mutation and/or recombination operators, LEM employs machine learning to guide the process of generating new individuals. A system, ISHED1, based on LEM, automatically searches for the highest capacity heat exchangers under given technical and environmental constraints. The results of experiments have been highly promising, often producing solutions exceeding the best human designs.

Kenneth A. Kaufman; Ryszard S. Michalski

2000-01-01T23:59:59.000Z

214

Optimization of reactive distillation processes with simulated annealing  

E-Print Network (OSTI)

A simulated annealing-based algorithm (MSIMPSA) suitable for the optimization of mixed integer non-linear programming (MINLP) problems was applied to the synthesis of a non-equilibrium reactive distillation column. A simulation model based on an extension of conventional distillation is proposed for the simulation step of the optimization problem. In the case of ideal vapor}liquid equilibrium, the simulation results are similar to those obtained by Ciric and Gu (1994, AIChE Journal, 40(9), 1479) using the GAMS environment and to those obtained with the AspenPlus modular simulator. The optimization results are also similar to those previously reported and similar to those using an adaptive random search algorithm (MSGA). The optimizations were also performed with non-ideal vapor}liquid equilibrium, considering either distributed feed and reaction trays or single feed and reaction tray. The results show that the optimized objective function values are very similar, and mostly independent of the number of trays and of the reaction distribution. It is shown that the proposed simulation/optimization equation-oriented environments are capable of providing optimized solutions which are close to the global optimum, and reveal its adequacy for the optimization of reactive distillation

M. F. Cardoso; R. L. Salcedo; S. Feyo De Azevedo; D. Barbosa

1999-01-01T23:59:59.000Z

215

Optimization Online Digest -- March 2012  

E-Print Network (OSTI)

Economic and Environmental Analysis of Photovoltaic Energy Systems via Robust Optimization Shimpei Okido, Akiko Takeda Scatter search algorithms for the ...

216

Optimization Online Digest -- April 2010  

E-Print Network (OSTI)

Optimization Online Digest — April 2010. Applications — OR and Management Sciences Scheduling Flexible Maintenance Activities subject to Job-Dependent ...

217

Optimization Online Digest -- January 2012  

E-Print Network (OSTI)

Assortment and Pricing with Demand Learning Masoud Talebian ... Optimal Response to Epidemics and Cyber Attacks in Networks Noam Goldberg, Sven ...

218

Portfolio Optimization: Concepts and Challenges  

Science Conference Proceedings (OSTI)

The term "portfolio optimization" -- the process of finding and exploiting opportunities to add value by changing the composition of a business portfolio -- has been occurring with increasing frequency in the electric power industry. For example, portfolio optimization has appeared as a topic on agendas for numerous industry conferences. Vendors of commercial software for trading and risk management also are starting to promote portfolio optimization's capabilities. Though portfolio optimization is a hot...

2002-12-18T23:59:59.000Z

219

Optimization Online Digest -- December 2012  

E-Print Network (OSTI)

Optimization Online Digest — December 2012. Applications ... Solving the integrated airline recovery problem using column-and-row generation. Stephen J  ...

220

Project: Sustainability Modeling and Optimization  

Science Conference Proceedings (OSTI)

... and the capabilities to formulate simulation and optimization models. ... “Energy Efficiency Analysis for a Casting Production System,” Berglund ...

2012-12-27T23:59:59.000Z

Note: This page contains sample records for the topic "optimization cxs applied" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

Optimization Online Digest -- December 2011  

E-Print Network (OSTI)

A Security Framework for Smart Metering with Multiple Data Consumers Cristina Rottondi, Giacomo Verticale, Antonio Capone Optimizing Trading Decisions for ...

222

Optimization Online Digest -- May 2013  

E-Print Network (OSTI)

Optimization Online Digest — May 2013. Applications — OR and Management Sciences Practical Multi-objective Programming Isaac Siwale Solution of ...

223

Optimization Online Digest -- September 2013  

E-Print Network (OSTI)

Optimization Online Digest — September 2013. Applications — OR and Management Sciences The Vehicle Platooning Problem: Computational Complexity and ...

224

Optimization Online Digest -- March 2013  

E-Print Network (OSTI)

Optimization Online Digest — March 2013. Applications — OR and Management Sciences Solution Methods for the Periodic Petrol Station Replenishment ...

225

Optimal designs for conjoint experiments  

Science Conference Proceedings (OSTI)

In conjoint experiments, each respondent receives a set of profiles to rate. Sometimes, the profiles are expensive prototypes that respondents have to test before rating them. Designing these experiments involves determining how many and which profiles ... Keywords: Conjoint experiments, D-optimality, Optimal block design, Optimal block sizes, Prototype testing

Roselinde Kessels; Peter Goos; Martina Vandebroek

2008-01-01T23:59:59.000Z

226

DARPA Learning Applied to Ground Robots (LAGR)  

Science Conference Proceedings (OSTI)

DARPA Learning Applied to Ground Robots (LAGR) Project (Concluded). Summary: The National Institute of Standards ...

2012-01-04T23:59:59.000Z

227

Argonne applied mathematicians use INCITE awards to attack energy problems  

NLE Websites -- All DOE Office Websites (Extended Search)

Argonne applied mathematicians use INCITE awards to attack energy problems Argonne applied mathematicians use INCITE awards to attack energy problems March 27, 2013 Tweet EmailPrint What is the best possible power grid configuration for our nation? How can we balance the increasing demands for power while minimizing costs and avoiding waste of resources? Last year, Mihai Anitescu, a computational mathematician in Argonne's Mathematics and Computer Science Division. received DOE funding to establish the Multifaceted Mathematics for Complex Energy Systems (M2ACS) to tackle these questions. As part of the M2ACS research, Anitescu and his colleagues at Argonne are focusing on ways to optimize the effects of randomly changing variables, say, in wind or resource demand. Such variables can number into the billions. And to be useful for energy systems planning, any calculations

228

American Institute of Aeronautics and Astronautics A Modeling Framework for Applying Discrete Optimization to System  

E-Print Network (OSTI)

system (e.g. electric, bipropellant), power supply system (solar, nuclear), and thermal control system variables. Genetic algorithms are evolutionary search techniques that mimic Darwin's Theory of Natural designs of a hydrogen reduction reactor exist, they can both be included at the "OR" level for hydrogen

de Weck, Olivier L.

229

From Basic Control to Optimized Systems-Applying Digital Control Systems to Steam Boilers  

E-Print Network (OSTI)

This presentation examines the application of Distributed Digital Controls in order to review the application of this recent control technology towards Steam Boilers in a step-by-step manner. The main purpose of a steam generating boiler is to supply enough steam to meet process demands. Steam conditions must remain as stable as possible, because variations in the steam system can affect downstream processes. Pressure variations in the steam supply header, for example, can have a severe effect on heat transferred to a process. If that process suffers an upset, unstable conditions can propagate from one process to another via the steam supply system. The closer the tolerance in the boiler control system, the smaller the steam header disturbances will be. This reduces the interaction, or 'coupling', of upsets between steam-consuming processes. Also, it may reduce the complexity of instrumentation needed for those processes. If the boiler control system can eliminate major upsets, the downstream processes won't need exotic schemes to compensate for such upsets.

Hockenbury, W. D.

1982-01-01T23:59:59.000Z

230

Optimal Conservation of Migratory Species Tara G. Martin1  

E-Print Network (OSTI)

Optimal Conservation of Migratory Species Tara G. Martin1 *, Iadine Chade`s2 , Peter Arcese1 , Peter P. Marra3 , Hugh P. Possingham4 , D. Ryan Norris1,5 1 Centre for Applied Conservation Research of biodiversity worldwide with annual investment for their conservation exceeding several billion dollars

Queensland, University of

231

The quantum systems control and the optimal control theory  

E-Print Network (OSTI)

Mathematical theory of the quantum systems control is based on some ideas of the optimal control theory. These ideas are developed here as applied to these systems. The results obtained meet the deficiencies in the basis and algorithms of the control synthesis and expand the application of these methods.

V. F. Krotov

2008-04-21T23:59:59.000Z

232

UFO: unified convex optimization algorithms for fixed-outline floorplanning  

Science Conference Proceedings (OSTI)

In this paper, we apply two convex optimization methods, named UFO, for fixed-outline floorplanning. Our approach consists of two stages which are a global distribution stage and a local legalization stage. In the first stage, we first transform modules ...

Jai-Ming Lin; Hsi Hung

2010-01-01T23:59:59.000Z

233

Production Cost Optimization Assessments  

Science Conference Proceedings (OSTI)

The benefits of improved thermal performance of coal-fired power plants continue to grow, as the costs of fuel rise and the prospect of a carbon dioxide cap and trade program looms on the horizon. This report summarizes the efforts to date of utilities committed to reducing their heat rate by 1.0% in the Production Cost Optimization (PCO) Project. The process includes benchmarking of plant thermal performance using existing plant data and a site-specific performance appraisal. The appraisal determines po...

2008-12-11T23:59:59.000Z

234

Optimized hydrogen piston engines  

DOE Green Energy (OSTI)

Hydrogen piston engines can be simultaneously optimized for improved thermal efficiency and for extremely low emissions. Using these engines in constant-speed, constant-load systems such as series hybrid-electric automobiles or home cogeneration systems can result in significantly improved energy efficiency. For the same electrical energy produced, the emissions from such engines can be comparable to those from natural gas-fired steam power plants. These hydrogen-fueled high-efficiency, low-emission (HELE) engines are a mechanical equivalent of hydrogen fuel cells. HELE engines could facilitate the transition to a hydrogen fuel cell economy using near-term technology.

Smith, J.R.

1994-05-10T23:59:59.000Z

235

Part load operation and heat recovery optimization in cogeneration units with diesel engines  

Science Conference Proceedings (OSTI)

This paper investigates the optimization possibilities of different co-generation units with diesel engines — especially applied in small and middle-size biogas power plant installations. The first subject of the publication is the analysis of ...

Slawomir Smolen

2008-05-01T23:59:59.000Z

236

Design optimization and analysis of coated particle fuel using advanced fuel performance modeling techniques  

E-Print Network (OSTI)

Modifying material properties provides another approach to optimize coated particle fuel used in pebble bed reactors. In this study, the MIT fuel performance model (TIMCOAT) was applied after benchmarking against the ...

Soontrapa, Chaiyod

2005-01-01T23:59:59.000Z

237

The Study on Finite Element Analysis for Anchor Support System Optimization  

Science Conference Proceedings (OSTI)

The anchor support design is important for the design of underground engineering. The process of optimizing the anchor support design is analyzed, the finite element method is applied to it. The anchor support system is developed including fore--process, ...

Wang Lixin; Duan Lixia

2010-04-01T23:59:59.000Z

238

Optimization of Object-Oriented Programs Using Static Class Hierarchy Analysis  

Science Conference Proceedings (OSTI)

Optimizing compilers for object-oriented languages apply static class analysis and other techniques to try to deduce precise information about the possible classes of the receivers of messages; if successful, dynamically-dispatched messages can be replaced ...

Jeffrey Dean; David Grove; Craig Chambers

1995-08-01T23:59:59.000Z

239

Sparse Models and Methods for Optimal Instruments with an Application to Eminent Domain  

E-Print Network (OSTI)

We develop results for the use of LASSO and Post-LASSO methods to form first-stage predictions and estimate optimal instruments in linear instrumental variables (IV) models with many instruments, p, that apply even when p ...

Belloni, Alexandre

2011-07-12T23:59:59.000Z

240

Automatic design synthesis and optimization of component-based systems by evolutionary algorithms  

Science Conference Proceedings (OSTI)

A novel approach for automatic design synthesis and optimization using evolutionary algorithms (EA) is introduced in the paper. The approach applies to component-based systems in general and is demonstrated with a heating, ventilating and air-conditioning ...

P. P. Angelov; Y. Zhang; J. A. Wright; V. I. Hanby; R. A. Buswell

2003-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "optimization cxs applied" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

Analysis and numerical optimization of gas turbine space power systems with nuclear fission reactor heat sources  

Science Conference Proceedings (OSTI)

A new three objective optimization technique is developed and applied to find the operating conditions for fission reactor heated Closed Cycle Gas Turbine (CCGT) space power systems at which maximum efficiency, minimum radiator area, and minimum total ...

Albert J. Juhasz / Jerzy Sawicki

2005-01-01T23:59:59.000Z

242

Detecting Greenhouse-Gas-Induced Climate Change with an Optimal Fingerprint Method  

Science Conference Proceedings (OSTI)

A strategy using statistically optimal fingerprints to detect anthropogenic climate change is outlined and applied to near-surface temperature trends. The components of this strategy include observations, information about natural climate ...

Gabriele C. Hegerl; Hans von Storch; Klaus Hasselmann; Benjamin D. Santer; Ulrich Cubasch; Philip D. Jones

1996-10-01T23:59:59.000Z

243

OpenEI:Projects/Search Engine Optimization | Open Energy Information  

Open Energy Info (EERE)

Search Engine Optimization Search Engine Optimization Jump to: navigation, search This page is used to coordinate the OpenEI project's plans to apply Search Engine Optimization (SEO) techniques to boost the site's traffic and impact. Contents 1 Tasks 2 Targeted Keywords 3 Resources 4 Participants Tasks Optimize pages' TITLE and H1 elements Include keywords (like "energy" in TITLE and H1 elements whenever possible (and appropriate) Usually accomplished via the "DISPLAYTITLE" magic word Include appropriate DESCRIPTION and KEYWORDS meta tags in HTML Usually accomplished via Template:PageMeta Include specific and descriptive ALT attributes in our image tags Make the ALT attribute as specific as possible (e.g. "NREL Logo" is better than just "Logo") Among other things, this should lead to more traffic via Google

244

Method for Determining Optimal Residential Energy Efficiency Retrofit Packages  

SciTech Connect

Businesses, government agencies, consumers, policy makers, and utilities currently have limited access to occupant-, building-, and location-specific recommendations for optimal energy retrofit packages, as defined by estimated costs and energy savings. This report describes an analysis method for determining optimal residential energy efficiency retrofit packages and, as an illustrative example, applies the analysis method to a 1960s-era home in eight U.S. cities covering a range of International Energy Conservation Code (IECC) climate regions. The method uses an optimization scheme that considers average energy use (determined from building energy simulations) and equivalent annual cost to recommend optimal retrofit packages specific to the building, occupants, and location. Energy savings and incremental costs are calculated relative to a minimum upgrade reference scenario, which accounts for efficiency upgrades that would occur in the absence of a retrofit because of equipment wear-out and replacement with current minimum standards.

Polly, B.; Gestwick, M.; Bianchi, M.; Anderson, R.; Horowitz, S.; Christensen, C.; Judkoff, R.

2011-04-01T23:59:59.000Z

245

Kernel Optimizations in SORD  

NLE Websites -- All DOE Office Websites (Extended Search)

Kernel Optimizations in SORD Kernel Optimizations in SORD earthquake dynamic rupture code Geoffrey P. Ely Leadership Computing Facility Argonne National Laboratory MiraCon March 7, 2013 S C E C an NSF+USGS center Acknowledgements Tareq Malas King Abdullah Univ. of Science & Technology Vitali Morozov Argonne Leadership Computing Facility Karen Magerlein IBM Watson Research Center Simulation Scale Outer length scale: ~500km Inner length scale: ~50m Mesh points: ~10 12 Spatial Derivatives f (⇠) = n X ↵, , =0 N ↵ (⇠)f ↵ rf = @f @⇠ · J 1 x y z ⇠ ⌘ ⇣ Equations of Motion Viscoelastic Solid (Kelvin-Voigt Model) Free surface boundary condition ¨ u = 1 ⇢ r · g = r(u + ˙ u) = trace(g) + µ(g + g T ) ⇢ density , µ elastic moduli viscosity u displacement stress tensor ⌧ = · ˆ n = 0 ! Kernel with 12 Streams do l = 1, 400 do k = 1, 400

246

E85 Optimized Engine  

SciTech Connect

A 5.0L V8 twin-turbocharged direct injection engine was designed, built, and tested for the purpose of assessing the fuel economy and performance in the F-Series pickup of the Dual Fuel engine concept and of an E85 optimized FFV engine. Additionally, production 3.5L gasoline turbocharged direct injection (GTDI) â??EcoBoostâ? engines were converted to Dual Fuel capability and used to evaluate the cold start emissions and fuel system robustness of the Dual Fuel engine concept. Project objectives were: to develop a roadmap to demonstrate a minimized fuel economy penalty for an F-Series FFV truck with a highly boosted, high compression ratio spark ignition engine optimized to run with ethanol fuel blends up to E85; to reduce FTP 75 energy consumption by 15% - 20% compared to an equally powered vehicle with a current production gasoline engine; and to meet ULEV emissions, with a stretch target of ULEV II / Tier II Bin 4. All project objectives were met or exceeded.

Stanley Bower

2011-12-31T23:59:59.000Z

247

Applications of agent-based models for optimization problems: A literature review  

Science Conference Proceedings (OSTI)

Agent based models (ABM) have been recently applied to solve optimization problems whose domains present several inter-related components in a distributed and heterogeneous environment. In this work we illustrate the state of the art related to the use ... Keywords: Agent-based modeling, Heuristics, Optimization problems

M. Barbati; G. Bruno; A. Genovese

2012-04-01T23:59:59.000Z

248

Optimal and hierarchical clustering of large-scale hybrid networks for scientific mapping  

Science Conference Proceedings (OSTI)

Previous studies have shown that hybrid clustering methods based on textual and citation information outperforms clustering methods that use only one of these components. However, former methods focus on the vector space model. In this paper we apply ... Keywords: Bibliometric analysis, Modularity optimization, Network analysis, Optimal and hierarchical clustering, Text mining

Xinhai Liu; Wolfgang Glänzel; Bart Moor

2012-05-01T23:59:59.000Z

249

The benefits and costs of DyC's run-time optimizations  

Science Conference Proceedings (OSTI)

DyC selectively dynamically compiles programs during their execution, utilizing the run-time-computed values of variables and data structures to apply optimizations that are based on partial evaluation. The dynamic optimizations are preplanned at static ... Keywords: dynamic compilation, specialization

Brian Grant; Markus Mock; Matthai Philipose; Craig Chambers; Susan J. Eggers

2000-09-01T23:59:59.000Z

250

Bundle Methods in Stochastic Optimal Power Management: A Disaggregated Approach Using Preconditioners  

Science Conference Proceedings (OSTI)

A specialized variant of bundle methods suitable for large-scale problems with separable objective is presented. The method is applied to the resolution of a stochastic unit-commitment problem solved by Lagrangian relaxation. The model includes hydro- ... Keywords: Lagrangian relaxation, bundle methods, optimization, preconditioning, stochastic optimization, unit-commitment problems

Léonard Bacaud; Claude Lemaréchal; Arnaud Renaud; Claudia Sagastizábal

2001-12-01T23:59:59.000Z

251

Application of particle swarm optimization and perceptual map to tourist market segmentation  

Science Conference Proceedings (OSTI)

This study intends to apply particle swarm optimization algorithm to cluster analysis for investigating market segmentation of Taiwanese tourists based on their motivation to visit Indonesia. In addition, Taiwanese tourists' preference of several types ... Keywords: Cluster analysis, Market segmentation, Particle swarm optimization, Perceptual map

R. J. Kuo; Kartika Akbaria; Budiarto Subroto

2012-08-01T23:59:59.000Z

252

Energy consumption forecasting in process industry using support vector machines and particle swarm optimization  

Science Conference Proceedings (OSTI)

In this paper, Support Vector Machines (SVMs) are applied in predicting energy consumption in the first phase of oil refining at a particular oil refinery. During cross-validation process of the SVM training Particle Swarm Optimization (PSO) algorithm ... Keywords: energy prediction, particle swarm optimization (PSO), support vector machines (SVM)

Milena R. Petkovi?; Milan R. Rapai?; Boris B. Jakovljevi?

2009-09-01T23:59:59.000Z

253

Optimization Online - All Areas Submissions - July 2003  

E-Print Network (OSTI)

The global optimization of Morse clusters by potential energy transformations ... Mathematical optimization for the inverse problem of intensity modulated ...

254

Optimization Online - All Areas Submissions - February 2011  

E-Print Network (OSTI)

... Optimization for Power System Configuration with Renewable Energy in Remote Areas ... Robust Energy Cost Optimization of Water Distribution System with ...

255

Optimization Online - All Areas Submissions - October 2013  

E-Print Network (OSTI)

All Areas Submissions - October 2013. Network Optimization Optimization Models for Differentiating Quality of Service Levels in Probabilistic Network Capacity ...

256

Time O®set Optimization in Digital Broadcasting - Optimization Online  

E-Print Network (OSTI)

height, polarization (horizontal/vertical) and antenna diagram (directivity). In Figure 1 the time ..... Phase 2: Optimization and constraint generation continue =

257

Optimization Online - Robust Energy Cost Optimization of Water ...  

E-Print Network (OSTI)

Feb 21, 2011 ... Robust Energy Cost Optimization of Water Distribution System with Uncertain Demand. Alexander Goryashko(ale_gory ***at*** rambler.ru)

258

First and second order optimality conditions for optimal control ...  

E-Print Network (OSTI)

May 16, 2012 ... Abstract: This paper deals with optimal control problems of integral equations, with initial-final and running state constraints. The order of a ...

259

Rule-Based Energy Management System Applied to Large Industrial Facilities  

E-Print Network (OSTI)

Deregulation of electricity and rising fuel costs are causing renewed interest in Energy Management Systems (EMS). This paper details the results of integrating a rule-based EMS controller at a Pulp and Paper Mill and additional findings from several other large industrial power complexes. It is a PC-based supervisory system that is interfaced to a Distributed Control System (DCS). The EMS has been applied on powerhouse complexes as large as 433 MW of electricity and 7500 KPPH of steam. The EMS may, as required, include boiler load allocation, steam turbine load allocation, combustion turbine and HRSG load allocation, real-time pricing (RTP) tie-line control, coordinated header pressure control, bus voltage and plant power factor control and electric and steam economic load shed systems. It optimizes the powerhouse operations to meet rapidly changing steam and electrical requirements of the plant at minimum cost subject to all of the operating constraints imposed on the generation equipment. Steady state optimization methods, such as linear and non-linear programming, are not suited for on line optimization of power complex operations since the process is rarely in steady state. Instead, it is critical to control the trajectory of the power generation for optimal steam and electric moves while satisfying multiple constraints. The optimization strategy applied here is reduced to a fairly small number of prioritized rules. It has proven itself capable of optimizing large powerhouse complexes while keeping the powerhouse and process units within a safe operating envelop.

Gauthier, M.; Childress, R. L.

2001-05-01T23:59:59.000Z

260

Oxidation Kinetics Modeling Applying Phase Field Approach  

Science Conference Proceedings (OSTI)

Presentation Title, Oxidation Kinetics Modeling Applying Phase Field Approach ... chemical reaction rates will increase exponentially and environmental attack ...

Note: This page contains sample records for the topic "optimization cxs applied" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

Researcher, Los Alamos National Laboratory - Applied Physics...  

NLE Websites -- All DOE Office Websites (Extended Search)

Applied Physics Division | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response...

262

Applied Chemicals and Materials Staff Directory  

Science Conference Proceedings (OSTI)

Applied Chemicals and Materials Staff Directory. ... accept either a name, organizational name, or ... MML Organization. Contact. Material Measurement ...

2012-10-12T23:59:59.000Z

263

Optimized nanoporous materials.  

Science Conference Proceedings (OSTI)

Nanoporous materials have maximum practical surface areas for electrical charge storage; every point in an electrode is within a few atoms of an interface at which charge can be stored. Metal-electrolyte interfaces make best use of surface area in porous materials. However, ion transport through long, narrow pores is slow. We seek to understand and optimize the tradeoff between capacity and transport. Modeling and measurements of nanoporous gold electrodes has allowed us to determine design principles, including the fact that these materials can deplete salt from the electrolyte, increasing resistance. We have developed fabrication techniques to demonstrate architectures inspired by these principles that may overcome identified obstacles. A key concept is that electrodes should be as close together as possible; this is likely to involve an interpenetrating pore structure. However, this may prove extremely challenging to fabricate at the finest scales; a hierarchically porous structure can be a worthy compromise.

Braun, Paul V. (University of Illinois at Urbana-Champaign, Urbana, IL); Langham, Mary Elizabeth; Jacobs, Benjamin W.; Ong, Markus D.; Narayan, Roger J. (North Carolina State University, Raleigh, NC); Pierson, Bonnie E. (North Carolina State University, Raleigh, NC); Gittard, Shaun D. (North Carolina State University, Raleigh, NC); Robinson, David B.; Ham, Sung-Kyoung (Korea Basic Science Institute, Gangneung, South Korea); Chae, Weon-Sik (Korea Basic Science Institute, Gangneung, South Korea); Gough, Dara V. (University of Illinois at Urbana-Champaign, Urbana, IL); Wu, Chung-An Max; Ha, Cindy M.; Tran, Kim L.

2009-09-01T23:59:59.000Z

264

CHEMICAL ENGINEERING SCHOOL OF ENGINEERING & APPLIED SCIENCE  

E-Print Network (OSTI)

30 CHEMICAL ENGINEERING SCHOOL OF ENGINEERING & APPLIED SCIENCE MIAMI UNIVERSITY 2005-2006 The program leads to the degree, Bachelor of Science in Applied Science, with a major in Chemical Engineering The chemical engineering students learn to apply the concepts of chemistry, biochemistry and biological science

Dollar, Anna

265

Optimization Online Digest -- January 2009  

E-Print Network (OSTI)

Applications — Science and Engineering On the Optimal On-Line Management of Photovoltaic-Hydrogen Hybrid Energy Systems Victor Zavala, Mihai Anitescu, ...

266

Optimization Online Digest -- November 2008  

E-Print Network (OSTI)

A Unified Approach for Cycle Service Levels Miguel Lejeune Optimization of Real Asset Portfolio using a Coherent Risk Measure: Application to Oil and Energy ...

267

Optimization Online Digest -- August 2013  

E-Print Network (OSTI)

Optimization of running strategies based on anaerobic energy and variations of velocity. Amandine Aftalion, J. Frédéric Bonnans Convergence Analysis of DC ...

268

Optimization Online Digest -- March 2009  

E-Print Network (OSTI)

Optimal Security Response to Attacks on Open Science Grids ... An accelerated proximal gradient algorithm for nuclear norm regularized least squares problems

269

MULTIDISCIPLINARY FREE MATERIAL OPTIMIZATION 1 ...  

E-Print Network (OSTI)

We present a mathematical framework for the so-called multidisciplinary free material ... Free material optimization (FMO) is a branch of structural optimiza- tion.

270

Optimization Online Digest -- August 2011  

E-Print Network (OSTI)

Optimal Job Scheduling with Day-ahead Price and Random Local Distributed Generation: A Two-stage Robust Approach Anna Danandeh, Long Zhao, Bo Zeng, ...

271

Optimization Online Digest -- July 2013  

E-Print Network (OSTI)

Optimization of Demand Response Through Peak Shaving G. Zakeri, D. Craigie, A. Philpott, M. Todd A practicable framework for distributionally robust linear ...

272

Process Optimization - Programmaster.org  

Science Conference Proceedings (OSTI)

Jul 9, 2013 ... Multi-scale, Multi-physics Optimization Framework for Additively Manufactured Structural Components: Tahany El-Wardany1; Mathew Lynch1; ...

273

Optimization Online Digest -- December 2005  

E-Print Network (OSTI)

Optimization of Flexural capacity of Reinforced fibrous Concrete Beams Using Genetic Algorithm D Suji ... Prox-Regularity and Stability of the Proximal Mapping

274

SEAMOPT - Stirling engine optimization code  

SciTech Connect

Experience is described with use of a fast-running Stirling engine optimization code developed at Argonne intended for public release. Stirling engine modeling is provided by the SEAM1 thermodynamic code. An interface was written to combine SEAM1 with a general optimization code and assess maximum component stress levels. Thus full engine thermodynamic and structural simulation is done during the optimization process. Several examples of the use of this code to optimize the GPU-3 engine are described. In one case efficiency was improved by over 25%.

Heames, T.J.; Daley, J.G.

1984-01-01T23:59:59.000Z

275

Optimization Online Digest -- June 2012  

E-Print Network (OSTI)

Optimization Online Digest — June 2012. Applications — OR and ... A new warmstarting strategy for the primal-dual column generation method. Jacek Gondzio ...

276

Resource Optimization Initiative (ROI) - TMS  

Science Conference Proceedings (OSTI)

Jul 3, 2008 ... The Resource Optimization Initiative (ROI), a not-for-profit entity, has been ... to begin with, would be Land, Water and Energy – the three major ...

277

Process Heating Systems Optimization Workshop  

Science Conference Proceedings (OSTI)

Mar 1, 2003 ... PROCESS HEATING SYSTEMS OPTIMIZATION WORKSHOP. In cooperation with the U.S. Department of Energy, Office of Energy Efficiency ...

278

Optimal Coupling of Energy Infrastructures  

E-Print Network (OSTI)

This paper presents a framework for integrated modeling and optimization of energy systems with multiple energy carriers. Based on the concept of energy hubs, a generic steadystate model for describing conversion and storage of multiple energy carriers, such as electricity, natural gas, hydrogen, or district heating, is developed and used for system optimization. Besides operational optimization of energy flows, the optimal structure of the system is investigated. Mathematically, the problems are stated as (mixed-integer) nonlinear programming problems. An example demonstrates the use and potential applications of the proposed method and highlights its features.

M. Geidl; G. Andersson

2007-01-01T23:59:59.000Z

279

Optimization Online Digest -- October 2011  

E-Print Network (OSTI)

Ellen H. Fukuda, Paulo J. S. Silva, Masao Fukushima. Nonlinear Optimization A robust Kantorovich's theorem on inexact Newton method with relative residual ...

280

Optimal control, parabolic equations, st  

E-Print Network (OSTI)

state constraints, for parabolic systems have been studied in Casas [20], ... troduced for deriving optimality conditionsfor parabolic problems with pure or mixed.

Note: This page contains sample records for the topic "optimization cxs applied" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

Machine Learning for Global Optimization  

E-Print Network (OSTI)

approach for global optimization in which machine learning is used to predict ..... In Figure 1 we show the level curves of the 2–dimensional Rastrigin function.

282

Thermodynamic Metrics and Optimal Paths  

E-Print Network (OSTI)

Thermodynamic metrics and optimal paths David A. Sivak ? andmanifold on the space of thermodynamic states. Within theconnection to the existing thermodynamic length formalism,

Sivak, David

2013-01-01T23:59:59.000Z

283

Optimal and Non-Optimal Compromise Strategies in Action Selection  

E-Print Network (OSTI)

from each of the two targets. · Exponentially Weakening Forces (EWF): The pulling effects), and exponentially weakening forces (EWF). We also estimated the expected utility of optimal behav- ior using 100,000 trials where an animat ran the selected strat- F SG EWF Optimal avg -4.074 -2.791 -2.465 1

Crabbe, Frederick

284

Introduction Optimal static exploration strategy  

E-Print Network (OSTI)

strategy Optimal dynamic exploration strategy The project Find Oil The current work is part of the project strategy Optimal dynamic exploration strategy The project Find Oil The current work is part of the project components required for oil and gas to accumulate in sufficient quantities to be worth producing: source

Eidsvik, Jo

285

Nonlinear optimization and parallel computing  

Science Conference Proceedings (OSTI)

The new computational technologies are having a very strong influence on numerical optimization, in several different ways. Many researchers have been stimulated by the need to either conform the existing numerical techniques to the new parallel architectures ... Keywords: global optimization, heuristics, interior point methods, parallel computing, quadratic programming

A. Migdalas; G. Toraldo; V. Kumar

2003-04-01T23:59:59.000Z

286

Bayesian inference with optimal maps  

Science Conference Proceedings (OSTI)

We present a new approach to Bayesian inference that entirely avoids Markov chain simulation, by constructing a map that pushes forward the prior measure to the posterior measure. Existence and uniqueness of a suitable measure-preserving map is established ... Keywords: Bayesian inference, Inverse problems, Measure-preserving maps, Numerical optimization, Optimal transport, Polynomial chaos

Tarek A. El Moselhy; Youssef M. Marzouk

2012-10-01T23:59:59.000Z

287

Experimental optimization by evolutionary algorithms  

Science Conference Proceedings (OSTI)

This tutorial addresses applications of evolutionary algorithms to optimization tasks where the function evaluation cannot be done through a computer simulation, but requires the execution of an experiment in the real world (i.e., cosmetics, detergents, ... Keywords: biological experiments, experimental optimization, history, quantum control

Thomas Bäck; Joshua Knowles; Ofer M. Shir

2010-07-01T23:59:59.000Z

288

Optimization of refinery hydrogen network  

Science Conference Proceedings (OSTI)

Tighter environmental regulations and more heavy-end upgrading in the petroleum industry lead to increased demand for hydrogen in oil refineries. In this paper, the method proposed to optimize the refinery hydrogen network is based upon mathematical ... Keywords: hydrogen management, optimization, refinery, superstructure

Yunqiang Jiao; Hongye Su

2010-09-01T23:59:59.000Z

289

Optimizing Power Factor Correction  

E-Print Network (OSTI)

The optimal investment for power factor correcting capacitors for Kansas Power and Light Company large power contract customers is studied. Since the billing capacity is determined by dividing the real demand by the power factor (the minimum billing capacity is based on 80 percent of the summer peak billing capacity) and the billing capacity is used to determine the number of kilowatt-hours billed at each pricing tier, the power factor affects both the demand and the energy charge. There is almost no information available in the literature concerning recommended power factor corrections for this situation. The general advice commonly given in the past has been that power factor should be corrected to above 0.9 if it is below that value to begin with, but that does not take into account the facts of the situation studied here. Calculations relevant to a commercial consumer of electricity were made for demands of 200, 400, 800, 1,600, 3,200, and 6,400 kW and monthly energy consumption periods of 100, 150, 200, 300, 400, and 500 hours for several capacitor purchase and installation costs. The results are displayed in a series of graphs that enable annual cost savings and payback periods to be readily determined over a range of commonly encountered parameter values. It is found that it is often economically advantageous to correct a power factor to near unity.

Phillips, R. K.; Burmeister, L. C.

1986-06-01T23:59:59.000Z

290

Catalytic reforming optimization  

Science Conference Proceedings (OSTI)

The authors have previously examined correlations between catalytic reforming parameters for an L-35-6 unit at the Gor'knefteorgsintez Industrial Association. Experimental design was used to derive polynomial equations describing the correlations for each reactor. Further research on optimizing the reforming has been based on these results. They adopted the following strategy to define the best working parameters: they define a temperature that would provide the maximum target-product yield while maintaining a given working life. Most of the aromatic hydrocarbons are formed by the naphthene dehydrogenation, which is endothermic, so the greater the temperature drop over the height, the more rapid the process. The temperature difference thus indicates the current catalyst activity. To increase the target-product yield, one must raise the inlet temperature and ensure the largest drop across the catalyst. They examined an algorithm with fixed inlet conditions as regards flow rate and raw material composition. This algorithm provides the basis of software for the automatic control of the L-35-6 reactor unit at the Gor'knefteorgsintez Industrial Association. The system has been checked out and put into experimental operation.

Mazina, S.G.; Rybtsov, V.V.; Priss-Titarenko, T.A.

1988-11-10T23:59:59.000Z

291

Categorical Exclusion (CX) Determinations By Date | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

February 28, 2013 February 28, 2013 CX-010241: Categorical Exclusion Determination Hydrogen Pathway Analyses CX(s) Applied: A9 Date: 02/28/2013 Location(s): Virginia Offices(s): Golden Field Office February 28, 2013 CX-010237: Categorical Exclusion Determination Pittsburgh Green Innovators Synergy Center CX(s) Applied: A9 Date: 02/28/2013 Location(s): Pennsylvania Offices(s): Golden Field Office February 28, 2013 CX-010223: Categorical Exclusion Determination St. Petersburg Sustainable Biosolids/Renewable Energy Plant CX(s) Applied: A9, A11 Date: 02/28/2013 Location(s): Florida Offices(s): Golden Field Office February 28, 2013 CX-010216: Categorical Exclusion Determination Design and Optimization of a Biochemical Production Platform with Biosensor-guided Synthetic Evolution CX(s) Applied: A9, B3.6

292

Hybrid optimization schemes for simulation-based problems.  

Science Conference Proceedings (OSTI)

The inclusion of computer simulations in the study and design of complex engineering systems has created a need for efficient approaches to simulation-based optimization. For example, in water resources management problems, optimization problems regularly consist of objective functions and constraints that rely on output from a PDE-based simulator. Various assumptions can be made to simplify either the objective function or the physical system so that gradient-based methods apply, however the incorporation of realistic objection functions can be accomplished given the availability of derivative-free optimization methods. A wide variety of derivative-free methods exist and each method has both advantages and disadvantages. Therefore, to address such problems, we propose a hybrid approach, which allows the combining of beneficial elements of multiple methods in order to more efficiently search the design space. Specifically, in this paper, we illustrate the capabilities of two novel algorithms; one which hybridizes pattern search optimization with Gaussian Process emulation and the other which hybridizes pattern search and a genetic algorithm. We describe the hybrid methods and give some numerical results for a hydrological application which illustrate that the hybrids find an optimal solution under conditions for which traditional optimal search methods fail.

Fowler, Katie (Clarkson University, NY); Gray, Genetha Anne; Griffin, Joshua D. (SAS Institute, NC)

2010-05-01T23:59:59.000Z

293

Fundamental & Applied Bioenergy | Clean Energy | ORNL  

NLE Websites -- All DOE Office Websites (Extended Search)

a new generation of efficient bioenergy strategies that will reduce U.S. dependence on foreign oil and help curb carbon emissions. Fundamental and applied bioenergy research at...

294

Applied Control Strategies at a Cogeneration Plant.  

E-Print Network (OSTI)

?? The purpose of this paper is to demonstrate the effectiveness of “classical strategies for dynamic control” on authentic cogeneration processes. These strategies are applied… (more)

Burns, Joseph William

2011-01-01T23:59:59.000Z

295

Applied Quantum Technology AQT | Open Energy Information  

Open Energy Info (EERE)

AQT Jump to: navigation, search Name Applied Quantum Technology (AQT) Place Santa Clara, California Zip 95054 Product California-based manufacturer of CIGS (copper indium gallium...

296

Evaluating iterative optimization across 1000 datasets  

Science Conference Proceedings (OSTI)

While iterative optimization has become a popular compiler optimization approach, it is based on a premise which has never been truly evaluated: that it is possible to learn the best compiler optimizations across data sets. Up to now, most iterative ... Keywords: benchmarking, compiler optimization, iterative optimization

Yang Chen; Yuanjie Huang; Lieven Eeckhout; Grigori Fursin; Liang Peng; Olivier Temam; Chengyong Wu

2010-06-01T23:59:59.000Z

297

Constraint Handling in Particle Swarm Optimization  

Science Conference Proceedings (OSTI)

In this article, the authors propose a particle swarm optimization PSO for constrained optimization. The proposed PSO adopts a multiobjective approach to constraint handling. Procedures to update the feasible and infeasible personal best are designed ... Keywords: Constrained Optimization, Constraint Handling, Feasible Personal Best, Infeasible Personal Best, Multiobjective Optimization, Particle Swarm Optimization

Wen Fung Leong; Gary G. Yen

2010-01-01T23:59:59.000Z

298

Dynamic Decision Making for Graphical Models Applied to Oil Exploration  

E-Print Network (OSTI)

We present a framework for sequential decision making in problems described by graphical models. The setting is given by dependent discrete random variables with associated costs or revenues. In our examples, the dependent variables are the potential outcomes (oil, gas or dry) when drilling a petroleum well. The goal is to develop an optimal selection strategy that incorporates a chosen utility function within an approximated dynamic programming scheme. We propose and compare different approximations, from simple heuristics to more complex iterative schemes, and we discuss their computational properties. We apply our strategies to oil exploration over multiple prospects modeled by a directed acyclic graph, and to a reservoir drilling decision problem modeled by a Markov random field. The results show that the suggested strategies clearly improve the simpler intuitive constructions, and this is useful when selecting exploration policies.

Martinelli, Gabriele; Hauge, Ragnar

2012-01-01T23:59:59.000Z

299

MathOptimizer: A nonlinear optimization package for Mathematica ...  

E-Print Network (OSTI)

introduce MathOptimizer's key features and discuss its usage options that support a ..... The option Samples determines the total number of sample points in each ..... and scientific fields such as numerical integration, potential energy models, ...

300

DRAFT GUIDANCE Applying for Other Uses of  

E-Print Network (OSTI)

DRAFT GUIDANCE Applying for Other Uses of Phosphogypsum: Submitting a Complete Petition 40 CFR 61 Assignment 0-2 #12;Applying for Other Uses of Phosphogypsum: Submitting a Complete Petition Table of Contents phosphogypsum in stacks? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 2.4. What

Note: This page contains sample records for the topic "optimization cxs applied" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

Applied technology section. Monthly report, March 1994  

Science Conference Proceedings (OSTI)

This is a monthly report giving the details on research currently being conducted at the Savannah River Technology Center. The following are areas of the research, engineering modeling and simulation, applied statistics, applied physics,experimental thermal hydraulics,and packaging and transportation.

Buckner, M.R.

1994-04-20T23:59:59.000Z

302

Design sensitivity analysis and optimization of steady fluid-thermal systems  

E-Print Network (OSTI)

Design optimization of fluid-thermal systems has been an area of significant research interest for the aerospace and automotive industry. The subject studies the modification of internal and external flow passages under certain specified objective constraints while satisfying the governing flow equations. Amongst various available optimization procedures the analytical sensitivity analyses-based optimization is arguably the most efficient design tool for complex multi-dimensional practical problems. In this paper, we augmented the analysis capabilities of the computational fluid dynamics (CFD) code with design sensitivity analysis (DSA). The design sensitivities are computed efficiently via analytical differentiation methods. The CFD DSA codes are then combined with numerical optimization schemes. Finally, CFD DSA design optimization algorithm is applied to the optimization of heat exchanger fin and HVAC duct systems. 2001 Elsevier Science B.V. All rights reserved.

Balagangadhar; Uid-thermal Systems

2001-01-01T23:59:59.000Z

303

Optimizing Energy Management Strategy and Degree of Hybridization for a Hydrogen Fuel Cell SUV  

E-Print Network (OSTI)

Previous work examined degree of hybridization on the fuel economy of a hybrid electric sport utility vehicle. It was observed that not only was the vehicle control strategy important, but that its definition should be coupled with the component sizing process. Both degree of hybridization and the energy management strategy have been optimized simultaneously in this study. Simple mass scaling algorithms were employed to capture the effect of component and vehicle mass variations as a function of degree of hybridization. Additionally, the benefits of regenerative braking and power buffering have been maximized using optimization methods to determine appropriate battery pack sizing. Both local and global optimization routines were applied to improve the confidence in the solution being close to the true optimum. An optimal configuration and energy management strategy that maximizes the benefit of hybridization for a hydrogen fuel cell hybrid SUV was derived. The optimal configuration was explored, and sensitivity to drive cycle in the optimization process was studied.

Keith Wipke Tony; Tony Markel; Doug Nelson

2001-01-01T23:59:59.000Z

304

Applied Materials Inc AMAT | Open Energy Information  

Open Energy Info (EERE)

Inc AMAT Inc AMAT Jump to: navigation, search Name Applied Materials Inc (AMAT) Place Santa Clara, California Zip 95052-8039 Sector Solar Product US-based manufacturer of equipment used in solar (silicon, thin-film, BIPV), semiconductor, and LCD markets. References Applied Materials Inc (AMAT)[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Applied Materials Inc (AMAT) is a company located in Santa Clara, California . References ↑ "Applied Materials Inc (AMAT)" Retrieved from "http://en.openei.org/w/index.php?title=Applied_Materials_Inc_AMAT&oldid=342244" Categories: Clean Energy Organizations Companies Organizations Stubs What links here Related changes

305

Applied Materials Wind Turbine | Open Energy Information  

Open Energy Info (EERE)

Wind Turbine Wind Turbine Jump to: navigation, search Name Applied Materials Wind Turbine Facility Applied Materials Sector Wind energy Facility Type Community Wind Facility Status In Service Owner Applied Materials Developer Applied Materials Energy Purchaser Applied Materials Location Gloucester MA Coordinates 42.62895426°, -70.65153122° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":42.62895426,"lon":-70.65153122,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

306

Optimal Control of a Parabolic Equation with Dynamic Boundary Condition  

SciTech Connect

We investigate a control problem for the heat equation. The goal is to find an optimal heat transfer coefficient in the dynamic boundary condition such that a desired temperature distribution at the boundary is adhered. To this end we consider a function space setting in which the heat flux across the boundary is forced to be an L{sup p} function with respect to the surface measure, which in turn implies higher regularity for the time derivative of temperature. We show that the corresponding elliptic operator generates a strongly continuous semigroup of contractions and apply the concept of maximal parabolic regularity. This allows to show the existence of an optimal control and the derivation of necessary and sufficient optimality conditions.

Hoemberg, D., E-mail: hoemberg@wias-berlin.de; Krumbiegel, K., E-mail: krumbieg@wias-berlin.de [Weierstrass Institute for Applied Mathematics and Stochastics, Nonlinear Optimization and Inverse Problems (Germany); Rehberg, J., E-mail: rehberg@wias-berlin.de [Weierstrass Institute for Applied Mathematics and Stochastics, Partial Differential Equations (Germany)

2013-02-15T23:59:59.000Z

307

Thermodynamic and cost optimization using program GEOTHM  

SciTech Connect

Some of the features of the computer program GEOTHM are shown. This program designs and optimizes thermodynamic process cycles. Several examples of geothermal cycle optimization are given. Three dimensional plots generated by the computer show how the optimization process works.

Green, M.A.; Pines, H.A.; Pope, W.L.; Williams, J.D.

1977-04-01T23:59:59.000Z

308

Particle swarm optimization with opposite particles  

Science Conference Proceedings (OSTI)

The particle swarm optimization algorithm is a kind of intelligent optimization algorithm. This algorithm is prone to be fettered by the local optimization solution when the particle's velocity is small. This paper presents a novel particle swarm ...

Rujing Wang; Xiaoming Zhang

2005-11-01T23:59:59.000Z

309

Optimal joule heating of the subsurface  

DOE Patents (OSTI)

A method for simultaneously heating the subsurface and imaging the effects of the heating. This method combines the use of tomographic imaging (electrical resistance tomography or ERT) to image electrical resistivity distribution underground, with joule heating by electrical currents injected in the ground. A potential distribution is established on a series of buried electrodes resulting in energy deposition underground which is a function of the resistivity and injection current density. Measurement of the voltages and currents also permits a tomographic reconstruction of the resistivity distribution. Using this tomographic information, the current injection pattern on the driving electrodes can be adjusted to change the current density distribution and thus optimize the heating. As the heating changes conditions, the applied current pattern can be repeatedly adjusted (based on updated resistivity tomographs) to affect real time control of the heating.

Berryman, James G. (Danville, CA); Daily, William D. (Livermore, CA)

1994-01-01T23:59:59.000Z

310

Optimal joule heating of the subsurface  

DOE Patents (OSTI)

A method for simultaneously heating the subsurface and imaging the effects of the heating is disclosed. This method combines the use of tomographic imaging (electrical resistance tomography or ERT) to image electrical resistivity distribution underground, with joule heating by electrical currents injected in the ground. A potential distribution is established on a series of buried electrodes resulting in energy deposition underground which is a function of the resistivity and injection current density. Measurement of the voltages and currents also permits a tomographic reconstruction of the resistivity distribution. Using this tomographic information, the current injection pattern on the driving electrodes can be adjusted to change the current density distribution and thus optimize the heating. As the heating changes conditions, the applied current pattern can be repeatedly adjusted (based on updated resistivity tomographs) to affect real time control of the heating.

Berryman, J.G.; Daily, W.D.

1994-07-05T23:59:59.000Z

311

Application of optimal prediction to molecular dynamics  

SciTech Connect

Optimal prediction is a general system reduction technique for large sets of differential equations. In this method, which was devised by Chorin, Hald, Kast, Kupferman, and Levy, a projection operator formalism is used to construct a smaller system of equations governing the dynamics of a subset of the original degrees of freedom. This reduced system consists of an effective Hamiltonian dynamics, augmented by an integral memory term and a random noise term. Molecular dynamics is a method for simulating large systems of interacting fluid particles. In this thesis, I construct a formalism for applying optimal prediction to molecular dynamics, producing reduced systems from which the properties of the original system can be recovered. These reduced systems require significantly less computational time than the original system. I initially consider first-order optimal prediction, in which the memory and noise terms are neglected. I construct a pair approximation to the renormalized potential, and ignore three-particle and higher interactions. This produces a reduced system that correctly reproduces static properties of the original system, such as energy and pressure, at low-to-moderate densities. However, it fails to capture dynamical quantities, such as autocorrelation functions. I next derive a short-memory approximation, in which the memory term is represented as a linear frictional force with configuration-dependent coefficients. This allows the use of a Fokker-Planck equation to show that, in this regime, the noise is {delta}-correlated in time. This linear friction model reproduces not only the static properties of the original system, but also the autocorrelation functions of dynamical variables.

Barber IV, John Letherman

2004-12-01T23:59:59.000Z

312

Optimal adaptive control with ?LQG.  

E-Print Network (OSTI)

??This thesis introduces ?LQG, the hyper extension of the Linear Quadratic Gaussian Regulator, for solving general purpose (locally optimal) nonlinear adaptive control on multiple-input multiple-output… (more)

Wendt, Luke

2013-01-01T23:59:59.000Z

313

Greedy approximation in convex optimization  

E-Print Network (OSTI)

Jun 2, 2012 ... In optimization theory an energy function E(x) is given and we should find ..... of matrices with nuclear norm not exceeding 1. We are interested ...

314

Optimization Online Digest -- July 2012  

E-Print Network (OSTI)

Optimal management and sizing of energy storage under dynamic pricing for the efficient integration of renewable energy. Pavithra ... POST-PARETO ANALYSIS FOR MULTIOBJECTIVE PARABOLIC CONTROL SYSTEMS Henri Bonnel.

315

Optimization of the CMDFT Code  

SciTech Connect

This report outlines the optimization of the CMDFT code by Xiaoguang Zhang during June-July 2006. The overall improvement in speed is nearly 40%. Possible further optimizatins are also discussed.

Zhang, Xiaoguang [ORNL; Kent, P. R. C. [University of Tennessee, Knoxville (UTK)

2011-09-01T23:59:59.000Z

316

Optimization Online Digest -- December 2008  

E-Print Network (OSTI)

Optimal structure of gas transmission trunklines ... Behavior of BFGS with an Exact Line Search on Nonsmooth Examples ... MINIMIZERS AND APPROXIMATE SUPER MINIMIZERS OF A SET-VALUED MAP INVOLVING CODERIVATIVES

317

Amine plant troubleshooting and optimization  

Science Conference Proceedings (OSTI)

A systematic method for troubleshooting and optimization of amine plants, if properly used, will result in fewer plant upsets, quick and correct responses to changing conditions and long-term profitable operations of any amine unit. It is important for amine plants to maintain safe, continuous and optimized operations for short- and long-term success. Effective and fast resolution of maine unit upsets plays a large part in this success. These considerations are as important in plants using generic amines such as monoethanolamine (MEA), diethanolamine (DEA), methyldiethanolamine (MDEA) and specialty amines based on MDEA. The key to troubleshooting and optimization is a systematic approach. Developing and using control charts can also be used to monitor amine plant operations. By using these techniques collectively, a formal method for troubleshooting and optimization can be established. This will ultimately result in a more trouble-free, continuous operation.

Abry, R.G.F. [Dow Chemical Co., Ft. Saskatchewan, Alberta (Canada); DuPart, M.S. [Dow Chemical Co., Freeport, TX (United States)

1995-04-01T23:59:59.000Z

318

On Optimal Radar Reflectivity Processing  

Science Conference Proceedings (OSTI)

A format for an optimal post-detection integration is discussed. The measurement cells in the integration scheme have equal down-range and cross-range resolution to conserve more of the variability of the precipitation field. Every measurement ...

Enrico Torlaschi; Isztar Zawadzki

1983-10-01T23:59:59.000Z

319

Benzene rectifying column performance optimization  

Science Conference Proceedings (OSTI)

Benzene rectifying column control at the actual petroleum refinery is studied. Certain approaches to increase the performance of precise rectification of benzene and toluene are suggested. An algorithm of evaluating the optimal regulation parameters ...

D. A. Smirnova; V. I. Fedorov; N. V. Lisitsyn

2011-01-01T23:59:59.000Z

320

NETL: Gasification Systems - Gasifier Optimization  

NLE Websites -- All DOE Office Websites (Extended Search)

Coal Optimization Small-Scale Coal-biomass to Liquids Production Using Highly Selective Fischer-Tropsch Synthesis Small-Scale Pilot Plant for the Gasification of Coal and Coal...

Note: This page contains sample records for the topic "optimization cxs applied" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

NREL-Renewable Energy Optimization Presentation | Open Energy...  

Open Energy Info (EERE)

Renewable Energy Optimization Presentation Jump to: navigation, search Logo: Renewable Energy Optimization Presentation Name Renewable Energy Optimization Presentation Agency...

322

Production Cost Optimization Project 2010  

Science Conference Proceedings (OSTI)

The EPRI Production Cost Optimization project assists participating members in implementing or enhancing heat rate optimization programs to reduce production costs through sustainable performance improvements. This Technical Update summarizes the status of the project and presents results for five (5) sites that have completed initial and follow-up assessments. A PCO assessment consists of benchmarking plant thermal performance using historical plant data along with an on-site performance appraisal to id...

2010-12-22T23:59:59.000Z

323

Optimal refinement of rule bases  

Science Conference Proceedings (OSTI)

This article presents a formal analysis of the rule refinement selection problem. There is no satisfactory methodical standard for the optimal refinement of rule bases. Current refinement systems select the best overall rule base refinements out of a ... Keywords: Rule base validation, complex gain calculation, conflicting and alternative rule refinements, evaluation of safety-critical knowledge bases, optimal refinement selection, rule refinement classes, subsumption and synergy

Hans-Werner Kelbassa

2004-08-01T23:59:59.000Z

324

CENTRAL PLATEAU REMEDIATION OPTIMIZATION STUDY  

SciTech Connect

THE CENTRAL PLATEAU REMEDIATION OPTIMIZATION STUDY WAS CONDUCTED TO DEVELOP AN OPTIMAL SEQUENCE OF REMEDIATION ACTIVITIES IMPLEMENTING THE CERCLA DECISION ON THE CENTRAL PLATEAU. THE STUDY DEFINES A SEQUENCE OF ACTIVITIES THAT RESULT IN AN EFFECTIVE USE OF RESOURCES FROM A STRATEGIC PERSPECTIVE WHEN CONSIDERING EQUIPMENT PROCUREMENT AND STAGING, WORKFORCE MOBILIZATION/DEMOBILIZATION, WORKFORCE LEVELING, WORKFORCE SKILL-MIX, AND OTHER REMEDIATION/DISPOSITION PROJECT EXECUTION PARAMETERS.

BERGMAN TB; STEFANSKI LD; SEELEY PN; ZINSLI LC; CUSACK LJ

2012-09-19T23:59:59.000Z

325

Optimization approach to entanglement distillation  

E-Print Network (OSTI)

We put forward a method for optimized distillation of partly entangled pairs of qubits into a smaller number of more entangled pairs by recurrent local unitary operations and projections. Optimized distillation is achieved by minimization of a cost function with up to 30 real parameters, which is chosen to be sensitive to the fidelity and the projection probability at each step. We show that in many cases this approach can significantly improve the distillation efficiency in comparison to the present methods.

T. Opatrny; G. Kurizki

1998-11-30T23:59:59.000Z

326

Optimize carbon dioxide sequestration, enhance oil recovery  

NLE Websites -- All DOE Office Websites (Extended Search)

4 January Optimize carbon dioxide sequestration, enhance oil recovery Optimize carbon dioxide sequestration, enhance oil recovery The simulation provides an important...

327

Optimize carbon dioxide sequestration, enhance oil recovery  

NLE Websites -- All DOE Office Websites (Extended Search)

Optimize carbon dioxide sequestration, enhance oil recovery Optimize carbon dioxide sequestration, enhance oil recovery The simulation provides an important approach to estimate...

328

Building Distributed Energy Performance Optimization for China...  

NLE Websites -- All DOE Office Websites (Extended Search)

Distributed Energy Performance Optimization for China - a Regional Analysis of Building Energy Costs and CO2 Emissions Title Building Distributed Energy Performance Optimization...

329

Optimization Online - All Areas Submissions - July 2013  

E-Print Network (OSTI)

Optimization of Demand Response Through Peak Shaving G. Zakeri, D. Craigie, A. Philpott, M. Todd. Convex and Nonsmooth Optimization On Equilibrium ...

330

Economic and Environmental Optimization of Microgrids  

NLE Websites -- All DOE Office Websites (Extended Search)

Economic and Environmental Optimization of Microgrids Title Economic and Environmental Optimization of Microgrids Publication Type Presentation Year of Publication 2013 Authors...

331

Portfolio Optimization with Stochastic Dominance Constraints  

E-Print Network (OSTI)

on the portfolio return rate. We develop optimality and duality theory for these models. We construct equivalent optimization models with utility functions.

332

DOE Hydrogen Analysis Repository: Building Energy Optimization...  

NLE Websites -- All DOE Office Websites (Extended Search)

Building Energy Optimization (BEopt) Software Project ID: 105 Principal Investigator: Craig Christensen Brief Description: BEopt is a computer program designed to find optimal...

333

Course Overview Pump Systems Matter Optimization | Department...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Course Overview Pump Systems Matter Optimization Attendees of the "Pump Systems Optimization" one-day course will gain valuable new skills to help them improve...

334

Optimization Online - Other Topics Submissions - 2012  

E-Print Network (OSTI)

Equilibria on the Day-Ahead Electricity Market Margarida Carvalho, João Pedro Pedroso. Optimization of Simulated Systems Simulation Optimization for the ...

335

Completely Positive Reformulations for Polynomial Optimization  

E-Print Network (OSTI)

Condition (i) in Remark 1 ensures that the feasible set of (18) does not change ..... Optimization Handbook on Semidefinite, Conic and Polynomial Optimization,

336

Design Feasibility Analysis and Optimization under Uncertainty...  

NLE Websites -- All DOE Office Websites (Extended Search)

Feasibility Analysis and Optimization under Uncertainty - A Bayesian Optimal Decision Framework Speaker(s): Jose M. Ortega Date: October 7, 2003 - 12:00pm Location: Bldg. 90...

337

OSCon: Optimizing superconductor transport properties through...  

NLE Websites -- All DOE Office Websites (Extended Search)

OSCon: Optimizing superconductor transport properties through large-scale simulation OSCon: Optimizing superconductor transport properties through large-scale simulation The SciDAC...

338

Necessary optimality condition for Nonsmooth Switching Control ...  

E-Print Network (OSTI)

Jun 7, 2007 ... Abstract: This paper is concerned with a class optimal switching nonsmoth optimal control problem is considered. Both the switching instants ...

339

multimaterial topology optimization by volume constrained allen ...  

E-Print Network (OSTI)

In [22], the optimization of the position of fuel assemblies in a nuclear reactor core has ... topology optimization problem based on the homogenization theory.

340

Microstructure Optimization in Fuel Cell Electrodes using Materials Design  

DOE Green Energy (OSTI)

Abstract A multiscale model based on statistical continuum mechanics is proposed to predict the mechanical and electrical properties of heterogeneous porous media. This model is applied within the framework of microstructure sensitive design (MSD) to guide the design of the microstructure in porous lanthanum strontium manganite (LSM) fuel cell electrode. To satisfy the property requirement and compatibility, porosity and its distribution can be adjusted under the guidance of MSD to achieve optimized microstructure.

Li, Dongsheng; Saheli, Ghazal; Khaleel, Mohammad A.; Garmestani, Hamid

2006-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "optimization cxs applied" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

Building Energy Software Tools Directory : CHP Capacity Optimizer  

NLE Websites -- All DOE Office Websites (Extended Search)

CHP Capacity Optimizer Back to Tool CHP Capacity Optimizer data entry screen CHP Capacity Optimizer results screen CHP Capacity Optimizer restult map...

342

Distributed rate allocation for inelastic flows: Optimization frameworks, optimality conditions, and optimal algorithms  

E-Print Network (OSTI)

Abstract—A common assumption behind the recent surge in research activities on network utility maximization is that the traffic flows are elastic, which implies that the utility functions are concave and there are no hard limits on the rate allocated to each flow. These critical assumptions lead to the tractability of the analytic models of utility maximization, but also limits the applicability of the resulting rate allocation protocols. This paper focuses on inelastic flows and removes these restrictive and often invalid assumptions. We present several optimization frameworks, optimality conditions, and optimal algorithms. First we consider nonconcave utility functions, which turn utility maximization into nonconvex, constrained optimization problems that are well-known to be extremely difficult. We first show a surprising result that under certain conditions, the standard pricing algorithm for rate allocation will still converge to the globally optimal rate allocation. When the existing distributed algorithm fails, we present a new algorithm that produces the globally optimal rate allocation, with the worst case complexity being polynomial time in the number of users but exponential time in the number of links. In the second part of the paper, we provide a general problem formulation of rate allocation among time-sensitive flows from real-time and streaming applications, as well as a decomposition into subproblems coordinated by pricing. After simplifying the subproblems by leveraging the optimization structures, we highlight the difficult issues of causality and time-scale, and propose an effective pricing-based heuristics for admission control and an optimal algorithm for a special case formulation.

Mung Chiang; Shengyu Zhang; Prashanth H

2005-01-01T23:59:59.000Z

343

Applied Field Research Initiative Deep Vadose Zone  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Applied Field Research Initiative Applied Field Research Initiative Deep Vadose Zone Located on the Hanford Site in Richland, Washington, the Deep Vadose Zone Applied Field Research Initiative (DVZ AFRI) was established to protect water resources by addressing the challenge of preventing contamination in the deep vadose zone from reaching groundwater. Led by the Pacific Northwest National Laboratory, the Initiative is a collaborative effort that leverages Department of Energy (DOE) investments in basic science and applied research and the work of site contractors to address the complex deep vadose zone contamination challenges. Challenge Many vadose zone environments within the DOE complex consist of complex stratified layers of unconsolidated and water-unsaturated sediments that are, in many places, con-

344

Applying System Engineering to Pharmaceutical Safety  

E-Print Network (OSTI)

While engineering techniques are used in the development of medical devices and have been applied to individual healthcare processes, such as the use of checklists in surgery and ICUs, the application of system engineering ...

Couturier, Matthieu

345

Applied Information Security, 1st edition  

Science Conference Proceedings (OSTI)

Applied Information Security guides readers through the installation and basic operation of IT Security software used in the industry today. Dos Commands; Password Auditors; Data Recovery & Secure Deletion; Packet Sniffer; Port Scanners; Vulnerability ...

Randy Boyle

2009-07-01T23:59:59.000Z

346

Baldrige FAQs: Applying for the Award  

Science Conference Proceedings (OSTI)

... often use their feedback reports in their strategic planning processes to focus ... How long does it take to apply for the ... How long will it take to do a self ...

2013-05-21T23:59:59.000Z

347

Applied Virtual Intelligence in Oil & Gas Industry;  

E-Print Network (OSTI)

1 Applied Virtual Intelligence in Oil & Gas Industry; Past, Present, & Future Shahab D. Mohaghegh on a daily basis by almost everyone. Credit Card Fraud Detection Bank Loan Approval Bomb Sniffing Devices

Mohaghegh, Shahab

348

Horizontal Well Placement Optimization in Gas Reservoirs Using Genetic Algorithms  

E-Print Network (OSTI)

Horizontal well placement determination within a reservoir is a significant and difficult step in the reservoir development process. Determining the optimal well location is a complex problem involving many factors including geological considerations, reservoir and fluid properties, economic costs, lateral direction, and technical ability. The most thorough approach to this problem is that of an exhaustive search, in which a simulation is run for every conceivable well position in the reservoir. Although thorough and accurate, this approach is typically not used in real world applications due to the time constraints from the excessive number of simulations. This project suggests the use of a genetic algorithm applied to the horizontal well placement problem in a gas reservoir to reduce the required number of simulations. This research aims to first determine if well placement optimization is even necessary in a gas reservoir, and if so, to determine the benefit of optimization. Performance of the genetic algorithm was analyzed through five different case scenarios, one involving a vertical well and four involving horizontal wells. The genetic algorithm approach is used to evaluate the effect of well placement in heterogeneous and anisotropic reservoirs on reservoir recovery. The wells are constrained by surface gas rate and bottom-hole pressure for each case. This project's main new contribution is its application of using genetic algorithms to study the effect of well placement optimization in gas reservoirs. Two fundamental questions have been answered in this research. First, does well placement in a gas reservoir affect the reservoir performance? If so, what is an efficient method to find the optimal well location based on reservoir performance? The research provides evidence that well placement optimization is an important criterion during the reservoir development phase of a horizontal-well project in gas reservoirs, but it is less significant to vertical wells in a homogeneous reservoir. It is also shown that genetic algorithms are an extremely efficient and robust tool to find the optimal location.

Gibbs, Trevor Howard

2010-05-01T23:59:59.000Z

349

Process Synthesis and Optimization of Biorefinery Configurations  

E-Print Network (OSTI)

The objective of this research was to develop novel and applicable methodologies to solve systematically problems along a roadmap of constructing a globally optimum biorefinery design. The roadmap consists of the following problems: (1) synthesis of conceptual biorefinery pathways from given feedstocks and products, (2) screening of the synthesized pathways to identify the most economic pathways, (3) development of a flexible biorefinery configuration, and (4) techno-economic analysis of a detailed biorefinery design. In the synthesis problem, a systems-based "forward-backward" approach was developed. It involves forward synthesis of biomass to possible intermediates and reverse synthesis starting with desired products and identifying necessary species and pathways leading to them. Then, two activities are performed to generate complete biorefinery pathways: matching (if one of the species synthesized in the forward step is also generated by the reverse step) or interception (a task is determined to take a forward-generated species with a reverse-generated species by identifying a known process or by using reaction pathway synthesis to link to two species.) In the screening problem, the Bellman's Principle of Optimality was applied to decompose the optimization problem into sub-problems in which an optimal policy of available technologies was determined for every conversion step. Subsequently, either a linear programming formulation or dynamic programming algorithm was used to determine the optimal pathways. In the configuration design problem, a new class of design problems with flexibility was proposed to build the most profitable plants that operate only when economic efficiency is favored. A new formulation approach with proposed constraints called disjunctive operation mode was also developed to solve the design problems. In the techno-economic analysis for a detailed design of biorefinery, the process producing hydrocarbon fuels from lignocellulose via the carboxylate platform was studied. This analysis employed many state-of-the-art chemical engineering fundamentals and used extensive sources of published data and advanced computing resources to yield reliable conclusions to the analysis. Case studies of alcohol-producing pathways from lignocellulosic biomass were discussed to demonstrate the merits of the proposed approaches in the former three problems. The process was extended to produce hydrocarbon fuels in the last problem.

Pham, Viet

2011-08-01T23:59:59.000Z

350

Daily combined economic emission scheduling of hydrothermal systems with cascaded reservoirs using self organizing hierarchical particle swarm optimization technique  

Science Conference Proceedings (OSTI)

Daily optimum economic emission scheduling of hydrothermal systems is an important task in the operation of power systems. Many heuristic techniques such as differential evolution, and particle swarm optimization have been applied to solve this problem ... Keywords: Cascaded reservoirs, Combined economic emission scheduling (CEES), Hydrothermal systems, Self-organizing particle swarm optimization with time-varying acceleration coefficients (SOHPSO_TVAC)

K. K. Mandal; N. Chakraborty

2012-02-01T23:59:59.000Z

351

Enhanced affine invariant matching of broken boundaries based on particle swarm optimization and the dynamic migrant principle  

Science Conference Proceedings (OSTI)

Recently particle swarm optimization (PSO) has been successfully applied in identifying contours that are originated from different views of the same object. As compared with similar approaches based on simple genetic algorithms (SGA), the PSO exhibits ... Keywords: Affine invariant matching, Broken boundary, Dynamic migrant principle, Particle swarm optimization, Static migrant principle

Peter W. M. Tsang; Terry Y. F. Yuen; W. C. Situ

2010-03-01T23:59:59.000Z

352

Optimal Operation of a Multiple Reservoir System  

E-Print Network (OSTI)

energy production release policies system. percent while optimal the meet satisfactorily all Sensitivity analysis

Marino, Miguel A; Loaiciga, Hugo A

1983-01-01T23:59:59.000Z

353

Optimization Online - Stochastic Programming Submissions - 2013  

E-Print Network (OSTI)

Stochastic Programming Submissions - 2013. January 2013. Generating moment matching scenarios using optimization techniques. Sanjay Mehrotra, David ...

354

Dynamic clustering using combinatorial particle swarm optimization  

Science Conference Proceedings (OSTI)

Combinatorial Particle Swarm Optimization (CPSO) is a relatively recent technique for solving combinatorial optimization problems. CPSO has been used in different applications, e.g., partitional clustering and project scheduling problems, and it has ... Keywords: Combinatorial optimization problems, Combinatorial particle swarm optimization, Dynamic clustering, Partitional clustering

Hamid Masoud; Saeed Jalili; Seyed Mohammad Hasheminejad

2013-04-01T23:59:59.000Z

355

Building Technologies Office: Building Energy Optimization Software  

NLE Websites -- All DOE Office Websites (Extended Search)

Building Energy Building Energy Optimization Software to someone by E-mail Share Building Technologies Office: Building Energy Optimization Software on Facebook Tweet about Building Technologies Office: Building Energy Optimization Software on Twitter Bookmark Building Technologies Office: Building Energy Optimization Software on Google Bookmark Building Technologies Office: Building Energy Optimization Software on Delicious Rank Building Technologies Office: Building Energy Optimization Software on Digg Find More places to share Building Technologies Office: Building Energy Optimization Software on AddThis.com... About Take Action to Save Energy Partner With DOE Activities Solar Decathlon Building America Research Innovations Research Tools Building Science Education Climate-Specific Guidance

356

Excitation optimization for damage detection  

SciTech Connect

A technique is developed to answer the important question: 'Given limited system response measurements and ever-present physical limits on the level of excitation, what excitation should be provided to a system to make damage most detectable?' Specifically, a method is presented for optimizing excitations that maximize the sensitivity of output measurements to perturbations in damage-related parameters estimated with an extended Kalman filter. This optimization is carried out in a computationally efficient manner using adjoint-based optimization and causes the innovations term in the extended Kalman filter to be larger in the presence of estimation errors, which leads to a better estimate of the damage-related parameters in question. The technique is demonstrated numerically on a nonlinear 2 DOF system, where a significant improvement in the damage-related parameter estimation is observed.

Bement, Matthew T [Los Alamos National Laboratory; Bewley, Thomas R [UCSD

2009-01-01T23:59:59.000Z

357

Optimization of Industrial Refrigeration Systems  

E-Print Network (OSTI)

A computer program designed to optimize the size of an evaporative condenser in a two-stage industrial refrigeration plant was created. The program sizes both the high-stage and low-stage compressors and an evaporative condenser. Once the initial system is sized, a year long plant simulation is performed resulting in electric energy consumption profile and an exergy destruction profile for each component and for the system. The program uses actual regional hourly outside dry bulb and wet bulb temperatures for both sizing and simulation. An exergoeconomic optimization uses the results of the simulation combined with component and energy costs to optimize the condenser size such that both plant costs and energy losses are minimized.

Flack, P. J.; Sharp, M. K.; Case, M. E.; Gregory, R. W.; Case, P. L.

1995-04-01T23:59:59.000Z

358

Optimal Scheduling of Cogeneration Plants  

E-Print Network (OSTI)

A cogeneration plant, feeding its output water into a district-heating grid, may include several types of energy producing units. The most important being the cogeneration unit, which produces both heat and electricity. Most plants also have a heat water storage. Finding the optimal production of both heat and electricity and the optimal use of the storage is a difficult optimization problem. This paper formulates a general approach for the mathematical modeling of a cogeneration plant. The model objective function is nonlinear, with nonlinear constraints. Internal plant temperatures, mass flows, storage losses, minimal up and down times and time depending start-up costs are considered. The unit commitment, i.e. the units on and off modes, is found with an algorithm based on Lagrangian relaxation. The dual search direction is given by the subgradient method and the step length by the Polyak rule II. The economic dispatch problem, i.e. the problem of determining the units production giv...

Erik Dotzauer; Kenneth Holmström

1997-01-01T23:59:59.000Z

359

Bayesian Inference with Optimal Maps  

E-Print Network (OSTI)

We present a new approach to Bayesian inference that entirely avoids Markov chain simulation, by constructing a map that pushes forward the prior measure to the posterior measure. Existence and uniqueness of a suitable measure-preserving map is established by formulating the problem in the context of optimal transport theory. We discuss various means of explicitly parameterizing the map and computing it efficiently through solution of an optimization problem, exploiting gradient information from the forward model when possible. The resulting algorithm overcomes many of the computational bottlenecks associated with Markov chain Monte Carlo. Advantages of a map-based representation of the posterior include analytical expressions for posterior moments and the ability to generate arbitrary numbers of independent posterior samples without additional likelihood evaluations or forward solves. The optimization approach also provides clear convergence criteria for posterior approximation and facilitates model selectio...

Moselhy, Tarek A El

2011-01-01T23:59:59.000Z

360

Automated Synthesis Tool for Design Optimization of Power Electronic Converters  

E-Print Network (OSTI)

Designers of power electronic converters usually face the challenge of having multiple performance indices that must be simultaneously optimized, such as maximizing efficiency while minimizing mass or maximizing reliability while minimizing cost. The experienced engineer applies his or her judgment to reduce the number of possible designs to a manageable number of feasible designs for which to prototype and test; thus, the optimality of this design-space reduction is directly dependent upon the experience, and expertise and biases of the designer. The practitioner is familiar with tradeoff analysis; however, simple tradeoff studies can become difficult or even intractable if multiple metrics are considered. Hence a scientific and systematic approach is needed. In this dissertation, a multi-objective optimization framework is presented as a design tool. Optimization of power electronic converters is certainly not a new subject. However, when limited to off-the-shelf components, the resulting system is really optimized only over the set of commercially available components, which may represent only a subset of the design space; the reachable space limited by available components and technologies. While this approach is suited to cost-reduce an existing design, it offers little insight into design possibilities for greenfield projects. Instead, this work uses the Technology Characterization Methods (TCM) to broaden the reachable design space by considering fundamental component attributes. The result is the specification for the components that create the optimal design rather than an evaluation of an apriori selected set of candidate components. A unique outcome of this approach is that new technology development vectors may emerge to develop optimized components for the optimized power converter. The approach presented in this work uses a mathematical descriptive language to abstract the characteristics and attributes of the components used in a power electronic converter in a way suitable for multi-objective and constrained optimization methods. This dissertation will use Technology Characterization Methods (TCM) to bridge the gap between high-level performance attributes and low-level design attributes where direct relationship between these two does not currently exist. The loss and size models for inductors, capacitors, IGBTs, MOSFETs and heat sinks will be used to form objective functions for the multi-objective optimization problem. A single phase IGBT-based inverter is optimized for efficiency and volume based on the component models derived using TCM. Comparing the obtained designs to a design, which can be made from commercial off-the-shelf components, shows that converter design can be optimized beyond what is possible from using only off-the-shelf components. A module-integrated photovoltaic inverter is also optimized for efficiency, volume and reliability. An actual converter is constructed using commercial off-the-shelf components. The converter design is chosen as close as possible to a point obtained by optimization. Experimental results show that the converter modeling is accurate. A new approach for evaluation of efficiency in photovoltaic converter is also proposed and the front-end portion of a photovoltaic converter is optimized for this efficiency, as well as reliability and volume.

Mirjafari, Mehran

2013-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "optimization cxs applied" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

Pump Systems Optimization: Energy Efficiency  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Pump Systems Pump Systems Optimization: Energy Efficiency and Bottom-Line Savings Host this one-day course to help participants learn how to identify and reduce hidden operation and energy costs. Participants will: * Identify energy savings * Increase profitability * Increase reliability * Earn seven PDH credits Attendees of the "Pump Systems Optimization" one-day course will gain valuable new skills to help them improve centrifugal pump system efficiency to reduce energy and operating costs while earning seven professional development hour (PDH) credits from the Hydraulic Institute. Topics covered include:* * Why Efficient Pump Systems Are Important

362

Numerical study of a matrix-free trust-region SQP method for equality constrained optimization.  

SciTech Connect

This is a companion publication to the paper 'A Matrix-Free Trust-Region SQP Algorithm for Equality Constrained Optimization' [11]. In [11], we develop and analyze a trust-region sequential quadratic programming (SQP) method that supports the matrix-free (iterative, in-exact) solution of linear systems. In this report, we document the numerical behavior of the algorithm applied to a variety of equality constrained optimization problems, with constraints given by partial differential equations (PDEs).

Heinkenschloss, Matthias (Rice University, Houston, TX); Ridzal, Denis; Aguilo, Miguel Antonio

2011-12-01T23:59:59.000Z

363

Path placement optimization of manipulators based on energy consumption: application to the orthoglide 3-axis  

E-Print Network (OSTI)

This paper deals with the optimal path placement for a manipulator based on energy consumption. It proposes a methodology to determine the optimal location of a given test path within the workspace of a manipulator with minimal electric energy used by the actuators while taking into account the geometric, kinematic and dynamic constraints. The proposed methodology is applied to the Orthoglide~3-axis, a three-degree-of-freedom translational parallel kinematic machine (PKM), as an illustrative example.

Ur-Rehman, Raza; Chablat, Damien; Wenger, Philippe

2009-01-01T23:59:59.000Z

364

S/MIMO MC-CDMA Heuristic Multiuser Detectors Based on Single-Objective Optimization  

Science Conference Proceedings (OSTI)

This paper analyzes the complexity-performance trade-off of several heuristic near-optimum multiuser detection (MuD) approaches applied to the uplink of synchronous single/multiple-input multiple-output multicarrier code division multiple access (S/MIMO ... Keywords: Computational complexity, Genetic algorithm, Heuristic methods, Local search, MC-CDMA, Multiuser detection, Particle swarm optimization, S/MIMO, Simulated annealing, Single-objective optimization, Tabu search

Taufik Abrão; Leonardo D. Oliveira; Fernando Ciriaco; Bruno A. Angélico; Paul Jean Jeszensky; Fernando Jose Casadevall Palacio

2010-06-01T23:59:59.000Z

365

Applied Process Engineering Laboratory | Open Energy Information  

Open Energy Info (EERE)

Applied Process Engineering Laboratory Applied Process Engineering Laboratory Name Applied Process Engineering Laboratory Address 350 Hills Street, Suite #101 Place Richland, Washington Zip 99354 Region Pacific Northwest Area Coordinates 46.3389754°, -119.2716263° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":46.3389754,"lon":-119.2716263,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

366

Modeling International Relationships in Applied General Equilibrium  

Open Energy Info (EERE)

Modeling International Relationships in Applied General Equilibrium Modeling International Relationships in Applied General Equilibrium (MIRAGE) Jump to: navigation, search LEDSGP green logo.png FIND MORE DIA TOOLS This tool is part of the Development Impacts Assessment (DIA) Toolkit from the LEDS Global Partnership. Tool Summary LAUNCH TOOL Name: Modeling International Relationships in Applied General Equilibrium (MIRAGE) Agency/Company /Organization: International Food Policy Research Institute, Centre d'Etudes Prospectives et d'Informations Internationales (CEPII) Focus Area: Economic Development Topics: Co-benefits assessment, - Macroeconomic Resource Type: Software/modeling tools User Interface: Desktop Application Complexity/Ease of Use: Moderate Website: www.ifpri.org/book-5076/ourwork/program/mirage-model RelatedTo: Global Trade Analysis Project (GTAP) Data Base

367

How to Apply | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

How to Apply How to Apply How to Apply Awards are made through a formal process that has changed dramatically since 2011. So let us walk you through it step by step. "Innovation pays." - John Kao, Innovation Nation Submit a Letter of Intent On October 28, 2013, the U.S. Department of Energy (DOE) announced on the DOE SBIR website a preview version of the technical topics for which it will later accept funding applications. These topics will be found on the DOE's Funding Opportunity Announcements page. The EE SBIR page lists those topics that are cleantech (specific to EERE). We also recommend that you sign up for the EE-SBIR and DOE-SBIR mailing lists. The EE SBIR mailing list signup is at https://public.govdelivery.com/accounts/USEERE/subscriber/new?topic_id=USEERE_442.

368

Applied Field Research Initiative Attenuation Based Remedies  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

PA00133 - March 2011 PA00133 - March 2011 Applied Field Research Initiative Attenuation Based Remedies in the Subsurface Located at the Savannah River Site in Aiken, South Carolina, the Attenuation-Based Remedies in the Subsurface Applied Field Research Initiative (ABRS AFRI) was established to develop the tools, approaches and technologies that will be required to address the technical challenges associated characteriza- tion, remediation and long-term monitoring of recalcitrant compounds in the subsurface at Department of Energy (DOE) Environmental Management (EM) sites. The ABRS AFRI site provides a unique setting for researchers in both applied and basic science fields. A wealth of subsurface data is available to support research activities and remedial decision making.

369

Applied Ventures LLC | Open Energy Information  

Open Energy Info (EERE)

Applied Ventures LLC Applied Ventures LLC Name Applied Ventures LLC Address 3050 Bowers Avenue Place Santa Clara, California Zip 95054 Region Southern CA Area Product Venture capital. Number of employees 1-10 Phone number (408) 727-5555 Website http://www.appliedventures.com Coordinates 37.37751°, -121.978721° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.37751,"lon":-121.978721,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

370

Applying a MEIO approach to manage Intel's VMI Hub Supply; Applying a Multi Echelon Inventory Optimization approach to manage Intel's Vendor Managed Inventory Hub Supply.  

E-Print Network (OSTI)

??To improve customer service levels, Intel implemented Vendor Managed Inventory (VMI) hub process for its Central Processing Unit (CPU) Finished Good (FG) inventory, which allows… (more)

Hsieh, Min Fang, M.B.A. Massachusetts Institute of Technology

2011-01-01T23:59:59.000Z

371

Optimal control of CPR procedure using hemodynamic circulation model  

DOE Patents (OSTI)

A method for determining a chest pressure profile for cardiopulmonary resuscitation (CPR) includes the steps of representing a hemodynamic circulation model based on a plurality of difference equations for a patient, applying an optimal control (OC) algorithm to the circulation model, and determining a chest pressure profile. The chest pressure profile defines a timing pattern of externally applied pressure to a chest of the patient to maximize blood flow through the patient. A CPR device includes a chest compressor, a controller communicably connected to the chest compressor, and a computer communicably connected to the controller. The computer determines the chest pressure profile by applying an OC algorithm to a hemodynamic circulation model based on the plurality of difference equations.

Lenhart, Suzanne M. (Knoxville, TN); Protopopescu, Vladimir A. (Knoxville, TN); Jung, Eunok (Seoul, KR)

2007-12-25T23:59:59.000Z

372

Optimal control of photovoltaic arrays  

Science Conference Proceedings (OSTI)

A high value of the energy conversion efficiency is not the only feature a photovoltaic power processing system must have. An optimal control of the photovoltaic generator must be also designed in order to maximize the electrical power it produces, even ... Keywords: Maximum power point tracking, Photovoltaic systems, Power electronics

N. Femia, G. Petrone, G. Spagnuolo, M. Vitelli

2013-05-01T23:59:59.000Z

373

Optimized Communication for Mobile Applications  

E-Print Network (OSTI)

Services and Fast Infoset Project MTOM/XOP of W3C DFDL of Global Grid Forum Extreme! Lab's research on SOAP ASN. 1. for binary encoding Binary Encoding Packed Encoding Rule (PER) ­ Octet Alt: Map SOAP 1}[0] #12;MTOM/XOP MTOM (Message Transmission Optimization Mechanism) and XOP (XML

374

Optimization of Injection Scheduling in  

E-Print Network (OSTI)

- of wells,and (2) allocating a total speci6cd injection rate among chosen injectors. The alloca- tion is defined as the fieldwide break- through lindex, B. Injection is optimized by choosing injection wells questions: (1) Which wells should be made injectors? (2) How should the total nquired injection rate

Stanford University

375

Condensate System Troubleshooting and Optimization  

E-Print Network (OSTI)

Condensate is steam that has cooled and condensed as a result of doing work (such as heating a process or building, or driving a turbine). The purpose of this paper is to outline benefits, guidelines, and potential problem areas of condensate return as well as tools available to optimize proper treatment.

Jenkins, B. V.

1983-01-01T23:59:59.000Z

376

Integrated Transportation System Design Optimization  

E-Print Network (OSTI)

Integrated Transportation System Design Optimization by Christine Taylor B.S. Cornell University by . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Professor Jaime Peraire Chairman, Department Graduate Committee #12;2 #12;Integrated Transportation System Abstract Traditionally, the design of a transportation system has focused on either the vehicle design

377

Boiler Reliability Optimization: Interim Guideline  

Science Conference Proceedings (OSTI)

Competitive pressures to drive costs down in the new business environment sometimes conflict with the demands of increased reliability and quality of supply. The Boiler Reliability Optimization program, which makes use of a number of applicable EPRI technologies, was developed to assess, create, and implement an effective boiler maintenance strategy for the changing business environment.

1999-11-30T23:59:59.000Z

378

Wind Electrolysis: Hydrogen Cost Optimization  

DOE Green Energy (OSTI)

This report describes a hydrogen production cost analysis of a collection of optimized central wind based water electrolysis production facilities. The basic modeled wind electrolysis facility includes a number of low temperature electrolyzers and a co-located wind farm encompassing a number of 3MW wind turbines that provide electricity for the electrolyzer units.

Saur, G.; Ramsden, T.

2011-05-01T23:59:59.000Z

379

Optimizing luminescent solar concentrator design.  

DOE Green Energy (OSTI)

Luminescent Solar Concentrators (LSCs) use fluorescent materials and light guides to convert direct and diffuse sunlight into concentrated wavelength-shifted light that produces electrical power in small photovoltaic (PV) cells with the goal of significantly reducing the cost of solar energy utilization. In this paper we present an optimization analysis based on the implementation of a genetic algorithm (GA) subroutine to a numerical ray-tracing Monte Carlo model of an LSC, SIMSOLAR-P. The initial use of the GA implementation in SIMSOLAR-P is to find the optimal parameters of a hypothetical 'perfect luminescent material' that obeys the Kennard Stepanov (K-S) thermodynamic relationship between emission and absorption. The optimization balances the efficiency losses in the wavelength shift and PV conversion with the efficiency losses due to re-scattering of light out of the collector. The theoretical limits of efficiency are provided for one, two and three layer configurations; the results show that a single layer configuration is far from optimal and adding a second layer in the LSC with wavelength shifted material in the near infrared region significantly increases the power output, while the gain in power by adding a third layer is relatively small. The results of this study provide a theoretical upper limit to the performance of an LSC and give guidance for the properties required for luminescent materials, such as quantum nanocrystals, to operate efficiently in planar LSC configurations.

Hernandez-Noyola, H.; Potterveld, D. H.; Holt, R. J.; Darling, S. B. (Center for Nanoscale Materials); ( PHY)

2012-01-01T23:59:59.000Z

380

Optimal deployment of solar index  

SciTech Connect

There is a growing trend, generally caused by state-specific renewable portfolio standards, to increase the importance of renewable electricity generation within generation portfolios. While RPS assist with determining the composition of generation they do not, for the most part, dictate the location of generation. Using data from various public sources, the authors create an optimal index for solar deployment. (author)

Croucher, Matt

2010-11-15T23:59:59.000Z

Note: This page contains sample records for the topic "optimization cxs applied" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

Optimal reorganization of agent formations  

Science Conference Proceedings (OSTI)

In this article we address the problem of determining how a structured formation of autonomous undistinguishable agents can be reorganized into another, eventually non-rigid, formation based on changes in the environment, perhaps unforeseeable. The methodology ... Keywords: combinatorial optimization, dynamic programming, formation reorganization

Dalila B. M. M. Fontes; Fernando A. C. C. Fontes

2008-09-01T23:59:59.000Z

382

Optimal Control of Distillation Systems  

E-Print Network (OSTI)

The optimum performance of a distillation system can be evaluated by examining the product purities, the product recoveries, and the system's capability to respond to small or large, expected or unexpected, plant disturbances. An optimal control system should include accurate instrumentation, closed loop purity control, and a computer system to execute direct digital control with appropriate feed-forward algorithms.

Chatterjee, N.; Suchdeo, S. R.

1984-01-01T23:59:59.000Z

383

Nonlinear Integer Programming - Optimization Online  

E-Print Network (OSTI)

grams have been handled in the context of the field of global optimization, where the main focus is on ... considered a very young field, and most of the problems and methods are not as well-understood or stable ...... 4.0 (beta)). 118. Sebö, A.: ...

384

Uniform insulation applied-B ion diode  

DOE Patents (OSTI)

An applied-B field extraction ion diode has uniform insulation over an anode surface for increased efficiency. When the uniform insulation is accomplished with anode coils, and a charge-exchange foil is properly placed, and ions may be focused at a point on the z axis.

Seidel, D.B.; Slutz, S.A.

1986-04-11T23:59:59.000Z

385

Uniform insulation applied-B ion diode  

DOE Patents (OSTI)

An applied-B field extraction ion diode has uniform insulation over an anode surface for increased efficiency. When the uniform insulation is accomplished with anode coils, and a charge-exchange foil is properly placed, the ions may be focused at a point on the z axis.

Seidel, David B. (Albuquerque, NM); Slutz, Stephen A. (Albuquerque, NM)

1988-01-01T23:59:59.000Z

386

Applying Adaptive Evolutionary Algorithms to Hard Problems  

E-Print Network (OSTI)

Applying Adaptive Evolutionary Algorithms to Hard Problems J.I. van Hemert1 jvhemert into two distinct parts. The main theme is adaptive evolutionary algorithms. The rst part covers. The second part mainly consists of the development of a library. Its use is aimed at evolutionary algorithms

Emmerich, Michael

387

Constructal method to optimize solar thermochemical reactor design  

SciTech Connect

The objective of this study is the geometrical optimization of a thermochemical reactor, which works simultaneously as solar collector and reactor. The heat (concentrated solar radiation) is supplied on a small peripheral surface and has to be dispersed in the entire reactive volume in order to activate the reaction all over the material. A similarity between this study and the point to volume problem analyzed by the constructal approach (Bejan, 2000) is evident. This approach was successfully applied to several domains, for example for the coupled mass and conductive heat transfer (Azoumah et al., 2004). Focusing on solar reactors, this work aims to apply constructal analysis to coupled conductive and radiative heat transfer. As a first step, the chemical reaction is represented by a uniform heat sink inside the material. The objective is to optimize the reactor geometry in order to maximize its efficiency. By using some hypothesis, a simplified solution is found. A parametric study provides the influence of different technical and operating parameters on the maximal efficiency and on the optimal shape. Different reactor designs (filled cylinder, cavity and honeycomb reactors) are compared, in order to determine the most efficient structure according to the operating conditions. Finally, these results are compared with a CFD model in order to validate the assumptions. (author)

Tescari, S.; Mazet, N. [PROMES-CNRS, Rambla de la Thermodynamique, Tecnosud, 66100 Perpignan (France); Neveu, P. [PROMES-CNRS, Rambla de la Thermodynamique, Tecnosud, 66100 Perpignan (France); Universite de Perpignan Via Domitia, 52 Avenue Paul Alduy, 66860 Perpignan (France)

2010-09-15T23:59:59.000Z

388

Biotrans: Cost Optimization Model | Open Energy Information  

Open Energy Info (EERE)

Biotrans: Cost Optimization Model Biotrans: Cost Optimization Model Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Biotrans: Cost Optimization Model Focus Area: Ethanol Topics: Market Analysis Website: www.ecn.nl/units/ps/models-and-tools/biotrans/ Equivalent URI: cleanenergysolutions.org/content/biotrans-cost-optimization-model,http Language: English Policies: Deployment Programs DeploymentPrograms: Demonstration & Implementation BIOTRANS optimizes the biofuel supply chain allocation by finding the least-cost configuration of resources and trade to meet a specified biofuel demand in the European transportation sector. The user can constrain the optimization by inputting a number of economic and technological assumptions for a specific target year. References Retrieved from

389

Deterministic Global Optimization in Nonlinear Optimal Control Problems  

E-Print Network (OSTI)

bounds being less than the optimality tolerance of the local solver, 1 #2; 10 6 . 4.2 Oil Shale Pyrolysis 18:75 14190:8 5 20:70 15599:8 Table 4: Data for the oil shale pyrolysis example. A 1 k 1 ! A 2 A 2 k2 for the oil shale pyrolysis example. The frequency was found using 1000 random starting points. This example

390

Model test optimization using the virtual environment for test optimization  

SciTech Connect

We present a software environment integrating analysis and test-based models to support optimal modal test design through a Virtual Environment for Test Optimization (VETO). The VETO assists analysis and test engineers to maximize the value of each modal test. It is particularly advantageous for structural dynamics model reconciliation applications. The VETO enables an engineer to interact with a finite element model of a test object to optimally place sensors and exciters and to investigate the selection of data acquisition parameters needed to conduct a complete modal survey. Additionally, the user can evaluate the use of different types of instrumentation such as filters, amplifiers and transducers for which models are available in the VETO. The dynamic response of most of the virtual instruments (including the device under test) are modeled in the state space domain. Design of modal excitation levels and appropriate test instrumentation are facilitated by the VETO`s ability to simulate such features as unmeasured external inputs, A/D quantization effects, and electronic noise. Measures of the quality of the experimental design, including the Modal Assurance Criterion, and the Normal Mode Indicator Function are available. The VETO also integrates tools such as Effective Independence and minamac to assist in selection of optimal sensor locations. The software is designed about three distinct modules: (1) a main controller and GUI written in C++, (2) a visualization model, taken from FEAVR, running under AVS, and (3) a state space model and time integration module built in SIMULINK. These modules are designed to run as separate processes on interconnected machines.

Klenke, S.E.; Reese, G.M.; Schoof, L.A.; Shierling, C.

1995-11-01T23:59:59.000Z

391

On optimal TTL sequence-based route discovery in MANETs  

E-Print Network (OSTI)

In on-demand multi-hop routing protocols for MANETs such as DSR and AODV, a fundamental requirement for peer-to-peer connectivity is to discover routes to a remote node via flooding of route request messages. Historically, such floodings of requests have used a TTL (time-to-live) large enough to reach all nodes in the network to ensure successful route discovery in one round of flooding. Recently [1], it was shown that the generic minimal cost flooding search problem can be solved via a sequence of floodings with an optimally chosen set of TTLs. The theoretical result, when applied to DSR route discovery, does not take into account optimizations such as route caching and overhearing, which can significantly reduce the frequency and the propagation range of route discovery operations. Equally importantly, the impact of using a sequence of floodings on the packet delivery delay is not clear. In this paper, we study the impact of using the optimal TTL sequence-based route discovery on DSR routing performance. Our results show when caching and overhearing are considered, the route discovery enhanced by an optimal TTL sequence has very similar overhead but higher delay than the basic route discovery mechanism. 1

Dimitrios Koutsonikolas; Saumitra M. Das; Himabindu Pucha; Y. Charlie Hu

2005-01-01T23:59:59.000Z

392

On Optimal TTL Sequence-Based Route Discovery in MANETs  

E-Print Network (OSTI)

In on-demand multi-hop routing protocols for MANETs such as DSR and AODV, a fundamental requirement for peer-to-peer connectivity is to discover routes to a remote node via flooding of route request messages. Historically, such floodings of requests have used a TTL (time-to-live) large enough to reach all nodes in the network to ensure successful route discovery in one round of flooding. Recently [1], it was shown that the generic minimal cost flooding search problem can be solved via a sequence of floodings with an optimally chosen set of TTLs. The theoretical result, when applied to DSR route discovery, does not take into account optimizations such as route caching and overhearing, which can significantly reduce the frequency and the propagation range of route discovery operations. Equally importantly, the impact of using a sequence of floodings on the packet delivery delay is not clear. In this paper, we study the impact of using the optimal TTL sequence-based route discovery on DSR routing performance. Our results show when caching and overhearing are considered, the route discovery enhanced by an optimal TTL sequence has very similar overhead but higher delay than the basic route discovery mechanism.

Dimitrios Koutsonikolas Saumitra; Dimitrios Koutsonikolas; Saumitra M. Das; Himabindu Pucha; Y. Charlie Hu

2005-01-01T23:59:59.000Z

393

Optimizing Process Loads in Industrial Cogeneration Energy Systems  

E-Print Network (OSTI)

Optimum dispatch of energy supply systems can result in large savings in industrial facilities. Identifying the configuration of available equipment, and its loading to minimize total energy consumption to satisfy given load demands, has very high payback potential. This paper discusses an approach to determine integrated energy supply and end use optimum equipment dispatch to simultaneously satisfy given power, process steam and additional "end energy" product needs such as compressed fluids, chemical unit production, etc. Techniques applied to power generation and industrial cogeneration are extended to solving this trigeneration problem where the optimum dispatch of the final load devices (i.e. compressors, fans, pumps, etc.) are an integral part of the total energy system optimization. An example industrial trigeneration system is discussed to illustrate the application and procedures. The methods of considering alternate energy sources, for end use optimization with export power and steam generation will be illustrated. The savings associated with operations optimization readily justify the hardware and software costs required for implementation of Optimization Energy Management Systems (OEMS). An OEMS capability for this application is briefly discussed.

Ahner, D. J.; Babson, P. E.

1995-04-01T23:59:59.000Z

394

Modal test optimization using VETO (Virtual Environment for Test Optimization)  

SciTech Connect

We present a software environment integrating analysis and test-based models to support optimal modal test design through a Virtual Environment for Test Optimization (VETO). A goal in developing this software tool is to provide test and analysis organizations with a capability of mathematically simulating the complete test environment in software. Derived models of test equipment, instrumentation and hardware can be combined within the VETO to provide the user with a unique analysis and visualization capability to evaluate new and existing test methods. The VETO assists analysis and test engineers in maximizing the value of each modal test. It is particularly advantageous for structural dynamics model reconciliation applications. The VETO enables an engineer to interact with a finite element model of a test object to optimally place sensors and exciters and to investigate the selection of data acquisition parameters needed to conduct a complete modal survey. Additionally, the user can evaluate the use of different types of instrumentation such as filters, amplifiers and transducers for which models are available in the VETO. The dynamic response of most of the virtual instruments (including the device under test) is modeled in the state space domain. Design of modal excitation levels and appropriate test instrumentation are facilitated by the VETO`s ability to simulate such features as unmeasured external inputs, A/D quantization effects, and electronic noise. Measures of the quality of the experimental design, including the Modal Assurance Criterion, and the Normal Mode Indicator Function are available.

Klenke, S.E.; Reese, G.M.; Schoof, L.A.; Shierling, C.

1996-01-01T23:59:59.000Z

395

Applying advanced simulation in early stage unconventional ship design  

Science Conference Proceedings (OSTI)

A detailed description of the first, or global, optimization stage of two-stage hydrodynamic optimization framework for high-speed vessels is presented. A key feature of the framework is the application of advanced simulation in the early phases of design ... Keywords: early-stage design, high-speed vessel, optimization, ship design, surrogate model

Matthew Collette; Woei-Min Lin; Jun Li

2010-07-01T23:59:59.000Z

396

Apply for Beam Time | Advanced Photon Source  

NLE Websites -- All DOE Office Websites (Extended Search)

Apply for Beam Time Apply for Beam Time NEXT PROPOSAL DEADLINE: March 7, 2014 @ 11:59 PM (Chicago time) Submit Proposal » SEE ALSO: Calendar: deadlines, run & review dates Help Page: frequently asked questions, tips for success, common errors, blank forms, instructions Review Criteria Sectors Directory: check CAT websites for info about managed beam time The Run 2014-2 proposal submission deadline is 11:59 p.m. (Chicago time) March 7, 2014. The system will open to accept proposals beginning December 20, 2013. NEW USERS: to avoid delays and to make the most of your time on site, read Become a User. You must register as a user and receive a badge number before submitting a proposal. About the Beam Time Request Process All beam time at the APS must be requested each cycle through the web-based

397

Title Page Applied and Environmental Microbiology 1  

NLE Websites -- All DOE Office Websites (Extended Search)

Applied and Environmental Microbiology 1 Applied and Environmental Microbiology 1 2 Title Natural Competence in Thermoanaerobacter and Thermoanaerobacterium Species 3 Running Title Thermonanerobacter Natural Competence 4 5 Authors and Affiliations 6 A. Joe Shaw 1,2 , David A. Hogsett 1 , Lee R. Lynd 1,2,3 * 7 1 Mascoma Corporation, Lebanon, NH 03766 8 2 Thayer School of Engineering, Dartmouth College, Hanover, NH 03755 9 3 Department of Biological Sciences, Dartmouth College, Hanover, NH 03755 10 11 Corresponding Author 12 Lee R. Lynd 13 Thayer School of Engineering, Dartmouth College, Hanover, NH 03755 14 Phone: 603.646.2231 15 Email: lee.lynd@dartmouth.edu 16 17 18 19 20 21 22 23 Copyright © 2010, American Society for Microbiology and/or the Listed Authors/Institutions. All Rights Reserved.

398

Applying DSM evaluation results to utility planning  

SciTech Connect

This paper describes the results of a study to assess the application of DSM evaluation results to utility forecasting and planning. The paper has three objectives: (1) identify forecasting and planning applications of evaluation studies, (2) identify major obstacles and problems associated with applying evaluation results to forecasting and planning, and (3) suggest approaches to address the major problems. The paper summarizes results from interviews with utilities, regulators, and consultants to determine how the utility industry currently applies evaluation results in forecasting and planning. The paper also includes results from a detailed case study of Sacramento Municipal Utility District (SMUD) and Southern California Edison Company (SCE), two utilities with large DSM programs and active evaluation efforts.

Baxter, L.W.

1995-07-01T23:59:59.000Z

399

Fundamental & Applied Bioenergy | Clean Energy | ORNL  

NLE Websites -- All DOE Office Websites (Extended Search)

Bioenergy Bioenergy SHARE Fundamental and Applied Bioenergy Steven Brown (left) and Shihui Yang have developed a microbial strain with an improved ability to convert wood products to biofuel as part of research within the DOE BioEnergy Science Center.Source: ORNL News article ORNL researchers are investigating the biological mechanisms underlying production of biofuels so that those mechanisms can be improved and used to develop a new generation of efficient bioenergy strategies that will reduce U.S. dependence on foreign oil and help curb carbon emissions. Fundamental and applied bioenergy research at ORNL includes studies conducted within the BioEnergy Science Center and the following research areas: Bioconversion Science and Technology Plant-Microbe Interfaces

400

Optimization Online - Semidefinite Programming Based ...  

E-Print Network (OSTI)

Oct 8, 2013 ... umons.ac.be) ... We also show how an active-set method allow us to apply the preconditioning on large-scale real-world hyperspectral images.

Note: This page contains sample records for the topic "optimization cxs applied" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

Retrocommissioning Case Study - Applying Building Selection Criteria for Maximum Results  

E-Print Network (OSTI)

Commissioning of existing buildings, or “retrocommissioning” is a systematic process to identify operational and maintenance (O&M) improvements that optimize building performance and ensure that building systems function together efficiently and effectively (Haasl, Sharp 1999). This paper presents a case study of a utility-funded retrocommissioning evaluation on a 125,000 SF office facility in La Mesa, California. The commissioning process consisted of site visits, interviews with facility staff, data collection and analysis, recommendation of energy conservation measures, and verification of savings. The study identified 13 deficiencies and recommended a suite of three O&M measures, one capital improvement measure and five other measures. The measures selected and implemented by the owner resulted in annual projected savings of 238,000 kWh (9.9%) and utility cost savings of $20,000 (6.9%)1, with a simple payback of 0.7 years. The project also demonstrated the value of applying rigorous building selection criteria to obtain cost-effective results. This paper profiles the project and discusses lesson learned.

Luskay, L.; Haasl, T.; Irvine, L.; Frey, D.

2002-01-01T23:59:59.000Z

402

Optimization  

NLE Websites -- All DOE Office Websites (Extended Search)

failure events, including standard model, checkpoint model, Markov Renewal Process, Bayesian model, and automatic- repeat-request (ARQ) model. They cannot be directly used in...

403

Computer Optimization of Steam Production  

E-Print Network (OSTI)

As fuel costs continued to rise sharply during the 1970' s, the staff at Exxon's Benicia Refinery realized there was a growing economic incentive to optimize the production of high pressure steam. A significant percentage of the Refinery's total energy is consumed in generating high pressure steam. Recently, a computer program was implemented to optimize high pressure steam production. The first challenge in developing the program was to provide reliable analog and digital instrumentation allowing simultaneous analog header control along with effective digital steam flow control. Once appropriate instrumentation became available, the effort focused on identifying the best approach for developing the computer control program. After screening several alternatives, it became apparent that we were dealing with an allocation problem which could be effectively handled with a linear program. The control program has performed well since it was commissioned. It has experienced a service factor of greater than 95% while reducing energy consumption of the boilers by over 500 million Btu's per day.

Todd, C. H.

1982-01-01T23:59:59.000Z

404

Integrated Energy System Dispatch Optimization  

DOE Green Energy (OSTI)

On-site cogeneration of heat and electricity, thermal and electrical storage, and curtailing/rescheduling demand options are often cost-effective to commercial and industrial sites. This collection of equipment and responsive consumption can be viewed as an integrated energy system(IES). The IES can best meet the sites cost or environmental objectives when controlled in a coordinated manner. However, continuously determining this optimal IES dispatch is beyond the expectations for operators of smaller systems. A new algorithm is proposed in this paper to approximately solve the real-time dispatch optimization problem for a generic IES containing an on-site cogeneration system subject to random outages, limited curtailment opportunities, an intermittent renewable electricity source, and thermal storage. An example demonstrates how this algorithm can be used in simulation to estimate the value of IES components.

Firestone, Ryan; Stadler, Michael; Marnay, Chris

2006-06-16T23:59:59.000Z

405

Shape of optimal active flagella  

E-Print Network (OSTI)

Many eukaryotic cells use the active waving motion of flexible flagella to self-propel in viscous fluids. However, the criteria governing the selection of particular flagellar waveforms among all possible shapes has proved elusive so far. To address this question, we derive computationally the optimal shape of an internally-forced periodic planar flagellum deforming as a travelling wave. The optimum is here defined as the shape leading to a given swimming speed with minimum energetic cost. To calculate the energetic cost though, we consider the irreversible internal power expanded by the molecular motors forcing the flagellum, only a portion of which ending up dissipated in the fluid. This optimisation approach allows us to derive a family of shapes depending on a single dimensionless number quantifying the relative importance of elastic to viscous effects: the Sperm number. The computed optimal shapes are found to agree with the waveforms observed on spermatozoon of marine organisms, thus suggesting that the...

Eloy, Christophe

2013-01-01T23:59:59.000Z

406

Optimal protocols for nonlocality distillation  

Science Conference Proceedings (OSTI)

Forster et al. recently showed that weak nonlocality can be amplified by giving the first protocol that distills a class of nonlocal boxes (NLBs) [Phys. Rev. Lett. 102, 120401 (2009)] We first show that their protocol is optimal among all nonadaptive protocols. We next consider adaptive protocols. We show that the depth-2 protocol of Allcock et al. [Phys. Rev. A 80, 062107 (2009)] performs better than previously known adaptive depth-2 protocols for all symmetric NLBs. We present a depth-3 protocol that extends the known region of distillable NLBs. We give examples of NLBs for which each of the Forster et al., the Allcock et al., and our protocols perform best. The understanding we develop is that there is no single optimal protocol for NLB distillation. The choice of which protocol to use depends on the noise parameters for the NLB.

Hoeyer, Peter; Rashid, Jibran [Department of Computer Science, University of Calgary, 2500 University Drive N.W., Calgary, Alberta, 2N 1N4 (Canada)

2010-10-15T23:59:59.000Z

407

An optimization approach to kinetic model reduction for combustion chemistry  

E-Print Network (OSTI)

Model reduction methods are relevant when the computation time of a full convection-diffusion-reaction simulation based on detailed chemical reaction mechanisms is too large. In this article, we review a model reduction approach based on optimization of trajectories and show its applicability to realistic combustion models. As most model reduction methods, it identifies points on a slow invariant manifold based on time scale separation in the dynamics of the reaction system. The numerical approximation of points on the manifold is achieved by solving a semi-infinite optimization problem, where the dynamics enter the problem as constraints. The proof of existence of a solution for an arbitrarily chosen dimension of the reduced model (slow manifold) is extended to the case of realistic combustion models including thermochemistry by considering the properties of proper maps. The model reduction approach is finally applied to three models based on realistic reaction mechanisms: 1. ozone decomposition as a small t...

Lebiedz, Dirk

2013-01-01T23:59:59.000Z

408

Viral genome structures are optimal for capsid assembly  

E-Print Network (OSTI)

Understanding how virus capsids assemble around their nucleic acid (NA) genomes could promote efforts to block viral propagation or to reengineer capsids for gene therapy applications. We develop a coarse-grained model of capsid proteins and NAs with which we investigate assembly dynamics and thermodynamics. In contrast to recent theoretical models, we find that capsids spontaneously `overcharge'; i.e., the negative charge of the NA exceeds the positive charge on capsid. When applied to specific viruses, the optimal NA lengths closely correspond to the natural genome lengths. Calculations based on linear polyelectrolytes rather than base-paired NAs underpredict the optimal length, demonstrating the importance of NA structure to capsid assembly. These results suggest that electrostatics, excluded volume, and NA tertiary structure are sufficient to predict assembly thermodynamics and that the ability of viruses to selectively encapsidate their genomic NAs can be explained, at least in part, on a thermodynamic basis.

Jason D. Perlmutter; Cong Qiao; Michael F. Hagan

2013-05-15T23:59:59.000Z

409

Functional Substitution Methods in Optimization for Bayesian Tomography  

E-Print Network (OSTI)

1 Bayesian tomographic reconstruction algorithms generally require the efficient optimization of a functional of many variables. In this setting as well as many other optimization tasks, functional substitution (FS) has been widely applied to simplify each step of the iterative process. The function to be minimized is replaced locally by an approximation having a more easily manipulated form, e.g. quadratic, but which maintains sufficient similarity to descend the true functional while computing only the substitute. In this paper, we provide two new applications of FS methods in iterative coordinate descent for Bayesian tomography. The first is a modification of our recently proposed coordinate descent algorithm with 1-D Newton-Raphson approximations to an alternative quadratic which allows convergence to be proven easily. In simulations we find essentially no difference in convergence speed between the two techniques. We also present a new algorithm which exploits the FS method to all...

Jun Zheng; Suhail Saquib; Ken Sauer; Charles Bouman

1997-01-01T23:59:59.000Z

410

Optimal estimation with limited measurements  

Science Conference Proceedings (OSTI)

This paper introduces a sequential estimation problem with two decision makers, or agents, who work as members of a team. One of the agents sits at an observation post, and makes sequential observations about the state of an underlying stochastic process ... Keywords: WSNs, limited information, networked control systems, optimal estimation, real-time control, real-time monitoring, recursive estimation, sequential estimation, wireless networks, wireless sensor networks

Orhan C. Imer; Tamer Basar

2010-01-01T23:59:59.000Z

411

Equipment Maintenance Optimization Manual Applications  

Science Conference Proceedings (OSTI)

This report is a compilation of Equipment Maintenance Optimization Manuals (EMOMs) that include procedures and troubleshooting supported by broad-based utility experience. EMOMs for critical generating station equipment allows power generating plants to replace existing maintenance practices with the latest industry best practices. Using this information as a benchmark, current practices can be validated or adjusted for more optimum performance of the overall maintenance process. In addition, the EMOMs c...

2001-12-21T23:59:59.000Z

412

Equipment Maintenance Optimization Manual Prototypes  

Science Conference Proceedings (OSTI)

This report provides detailed information to assist plant staff in performing recommended equipment maintenance tasks. It is a compilation of equipment maintenance optimization manual (EMOM) prototypes that include procedures and trouble shooting supported by broad-based utility experience. The EMOMs enable utility generation stations to: minimize operation and maintenance costs, including parts and labor; assist in maintenance planning, scheduling, and parts strategy; develop comprehensive maintenance m...

1999-11-24T23:59:59.000Z

413

Evaluating Heuristic Optimization Phase Order Search Algorithms  

Science Conference Proceedings (OSTI)

Program-specific or function-specific optimization phase sequences are universally accepted to achieve better overall performance than any fixed optimization phase ordering. A number of heuristic phase order space search algorithms have been devised ...

Prasad A. Kulkarni; David B. Whalley; Gary S. Tyson

2007-03-01T23:59:59.000Z

414

Modeling and optimization of permanent magnetic motors  

E-Print Network (OSTI)

This thesis develops analytic models for the prediction and optimization of radial-flux permanent magnet motor torque and efficiency. It also facilitates the design optimization of electromagnetically-powered rotorcraft ...

Pinkham, Andrew P

2008-01-01T23:59:59.000Z

415

Optimal operating strategy for a storage facility  

E-Print Network (OSTI)

In the thesis, I derive the optimal operating strategy to maximize the value of a storage facility by exploiting the properties in the underlying natural gas spot price. To achieve the objective, I investigate the optimal ...

Zhai, Ning

2008-01-01T23:59:59.000Z

416

Optimization models for ATM network planning  

Science Conference Proceedings (OSTI)

This article describes mathematical programming models that have been developed and employed to evaluate configuration strategies for metropolitan ATM telecommunication networks. The models determine the optimal placement of ATM switch hardware and fiber ... Keywords: ATM, network optimization, telecommunications

Dennis C. Dietz; Amie J. Elcan; Daphne E. Skipper

2003-04-01T23:59:59.000Z

417

Categorical Exclusion Determinations: A9 | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

December 20, 2011 December 20, 2011 CX-007414: Categorical Exclusion Determination Optimized Ports Assessment CX(s) Applied: A9, A11 Date: 12/20/2011 Location(s): Oregon Offices(s): Golden Field Office December 20, 2011 CX-007406: Categorical Exclusion Determination Shallow Water Offshore Wind System Optimization for the Great Lakes CX(s) Applied: A9 Date: 12/20/2011 Location(s): Ohio Offices(s): Golden Field Office December 20, 2011 CX-007462: Categorical Exclusion Determination Light-Emitting Diode Street Light Retrofit CX(s) Applied: A1, A9, B5.1, B5.15 Date: 12/20/2011 Location(s): Ohio Offices(s): National Energy Technology Laboratory December 20, 2011 CX-007404: Categorical Exclusion Determination National Offshore Wind Energy Resource and Design Data Campaign - Analysis and Collaboration

418

Categorical Exclusion Determinations: Wyoming | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Wyoming Wyoming Categorical Exclusion Determinations: Wyoming Location Categorical Exclusion Determinations issued for actions in Wyoming. DOCUMENTS AVAILABLE FOR DOWNLOAD July 26, 2013 CX-010688: Categorical Exclusion Determination Optimization Project #3 CX(s) Applied: B2.5, B5.2, B5.4, B5.5 Date: 07/26/2013 Location(s): Wyoming Offices(s): RMOTC July 26, 2013 CX-010687: Categorical Exclusion Determination Optimization Project Area #1 CX(s) Applied: B2.5, B5.2, B5.4, B5.5 Date: 07/26/2013 Location(s): Wyoming Offices(s): RMOTC July 2, 2013 CX-010686: Categorical Exclusion Determination Cheyenne Substation KV2A 115-kilovolt Tie Line Installation CX(s) Applied: B4.6 Date: 07/02/2013 Location(s): Wyoming Offices(s): Western Area Power Administration-Rocky Mountain Region June 28, 2013

419

Optimal Real-time Dispatch for Integrated Energy Systems  

DOE Green Energy (OSTI)

This report describes the development and application of a dispatch optimization algorithm for integrated energy systems (IES) comprised of on-site cogeneration of heat and electricity, energy storage devices, and demand response opportunities. This work is intended to aid commercial and industrial sites in making use of modern computing power and optimization algorithms to make informed, near-optimal decisions under significant uncertainty and complex objective functions. The optimization algorithm uses a finite set of randomly generated future scenarios to approximate the true, stochastic future; constraints are included that prevent solutions to this approximate problem from deviating from solutions to the actual problem. The algorithm is then expressed as a mixed integer linear program, to which a powerful commercial solver is applied. A case study of United States Postal Service Processing and Distribution Centers (P&DC) in four cities and under three different electricity tariff structures is conducted to (1) determine the added value of optimal control to a cogeneration system over current, heuristic control strategies; (2) determine the value of limited electric load curtailment opportunities, with and without cogeneration; and (3) determine the trade-off between least-cost and least-carbon operations of a cogeneration system. Key results for the P&DC sites studied include (1) in locations where the average electricity and natural gas prices suggest a marginally profitable cogeneration system, optimal control can add up to 67% to the value of the cogeneration system; optimal control adds less value in locations where cogeneration is more clearly profitable; (2) optimal control under real-time pricing is (a) more complicated than under typical time-of-use tariffs and (b) at times necessary to make cogeneration economic at all; (3) limited electric load curtailment opportunities can be more valuable as a compliment to the cogeneration system than alone; and (4) most of the trade-off between least-cost and least-carbon IES is determined during the system design stage; for the IES system considered, there is little difference between least-cost control and least-carbon control.

Firestone, Ryan Michael

2007-05-31T23:59:59.000Z

420

Optimal Foraging of Renewable Resources  

E-Print Network (OSTI)

Consider a team of agents in the plane searching for and visiting target points that appear in a bounded environment according to a stochastic renewal process with a known absolutely continuous spatial distribution. Agents must detect targets with limited-range onboard sensors. It is desired to minimize the expected waiting time between the appearance of a target point, and the instant it is visited. When the sensing radius is small, the system time is dominated by time spent searching, and it is shown that the optimal policy requires the agents to search a region at a relative frequency proportional to the square root of its renewal rate. On the other hand, when targets appear frequently, the system time is dominated by time spent servicing known targets, and it is shown that the optimal policy requires the agents to service a region at a relative frequency proportional to the cube root of its renewal rate. Furthermore, the presented algorithms in this case recover the optimal performance achieved by agents ...

Enright, John J

2011-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "optimization cxs applied" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

Modulation Optimization under Energy Constraints  

E-Print Network (OSTI)

We consider radio applications where the nodes operate on batteries so that energy consumption must be minimized while satisfying given throughput and delay requirements. In this context, we analyze the best modulation strategy to minimize the total energy consumption required to send a given number of bits. The total energy consumption includes both the transmission energy and the circuit energy consumption. We show that for both MQAM and MFSK the transmission energy decreases with the product while the circuit energy consumption increases with , where is the modulation bandwidth and the transmission time. Thus, in short-range applications where the circuit energy consumption is nonnegligible compared with the transmission energy, the total energy consumption is minimized by using the maximum system bandwidth along with an optimized transmission time . We derive this optimal for MQAM and MFSK modulation in both AWGN channels and Rayleigh fading channels. Our optimization considers both delay and peak-power constraints. Numerical examples are given, where we exhibit up to 2 energy savings over modulation strategies that minimize the transmission energy alone.

Shuguang Cui Andrea; Andrea J. Goldsmith; Ahmad Bahai

2003-01-01T23:59:59.000Z

422

Optimal Stopping with Information Constraint  

SciTech Connect

We study the optimal stopping problem proposed by Dupuis and Wang (Adv. Appl. Probab. 34:141-157, 2002). In this maximization problem of the expected present value of the exercise payoff, the underlying dynamics follow a linear diffusion. The decision maker is not allowed to stop at any time she chooses but rather on the jump times of an independent Poisson process. Dupuis and Wang (Adv. Appl. Probab. 34:141-157, 2002), solve this problem in the case where the underlying is a geometric Brownian motion and the payoff function is of American call option type. In the current study, we propose a mild set of conditions (covering the setup of Dupuis and Wang in Adv. Appl. Probab. 34:141-157, 2002) on both the underlying and the payoff and build and use a Markovian apparatus based on the Bellman principle of optimality to solve the problem under these conditions. We also discuss the interpretation of this model as optimal timing of an irreversible investment decision under an exogenous information constraint.

Lempa, Jukka, E-mail: jlempa@cma.uio.no [University of Oslo, Centre of Mathematics for Applications (Norway)

2012-10-15T23:59:59.000Z

423

Global Optimization in Generalized Geometric Programming  

E-Print Network (OSTI)

design of cooling towers [4], chemical equi­ librium problems [10], optimal control [11], batch plant

424

Optimization Online - An Algorithm for Degenerate Nonlinear ...  

E-Print Network (OSTI)

Citation: Optimization Technical Report 03-02, Computer Sciences Department, University of Wisconsin-Madison, September 2003. Modified April 2004.

425

Computationally Optimized Homogenization Heat Treatment of ...  

usually entails numerous samples, substantial furnace time and associated energy, ... to optimize the homogenization process for efficiency and cost ...

426

Optimization Online - All Areas Submissions - February 2013  

E-Print Network (OSTI)

A NOTE ON THE EXTENSION COMPLEXITY OF THE KNAPSACK POLYTOPE Sebastian Pokutta, Mathieu Van Vyve. Other Topics Optimal Power Grid ...

427

Optimization of the Refrigerant Capacity in Multiphase ...  

Science Conference Proceedings (OSTI)

Symposium, Magnetic Materials for Energy Applications. Presentation Title, Optimization of the Refrigerant Capacity in Multiphase Magnetocaloric Materials.

428

Optimization of radiation protection: a bibliography  

Science Conference Proceedings (OSTI)

This document provides a bibliography of radiation protection optimization documents. Abstracts, an author index, and a subject index are provided.

Tang, G.R.; Khan, T.A.; Sullivan, S.G.

1996-10-01T23:59:59.000Z

429

Optimization Online - All Areas Submissions - March 2012  

E-Print Network (OSTI)

Applications — OR and Management Sciences Economic and Environmental Analysis of Photovoltaic Energy Systems via Robust Optimization Shimpei Okido

430

Learning-based ship design optimization approach  

Science Conference Proceedings (OSTI)

With the development of computer applications in ship design, optimization, as a powerful approach, has been widely used in the design and analysis process. However, the running time, which often varies from several weeks to months in the current computing ... Keywords: Machine learning, Multi-objective optimization, Ship design, Structure analysis, Structure optimization

Hao Cui; Osman Turan; Philip Sayer

2012-03-01T23:59:59.000Z

431

Constructing optimal designs for fitting pharmacokinetic models  

Science Conference Proceedings (OSTI)

We consider some computational issues that arise when searching for optimal designs for pharmacokinetic (PK) studies. Special factors that distinguish these are (i) repeated observations are taken from each subject and the observations are usually described ... Keywords: Bayesian optimal design, D-optimality, general optimisation, nonlinear mixed model, pharmacokinetic model

B. Jones; J. Wang

1999-07-01T23:59:59.000Z

432

Constructing Uncertainty Sets for Robust Linear Optimization  

Science Conference Proceedings (OSTI)

In this paper, we propose a methodology for constructing uncertainty sets within the framework of robust optimization for linear optimization problems with uncertain parameters. Our approach relies on decision maker risk preferences. Specifically, we ... Keywords: coherent risk measures, distortion risk measures, robust optimization, uncertainty sets

Dimitris Bertsimas; David B. Brown

2009-11-01T23:59:59.000Z

433

Particle swarm optimization in high dimensional spaces  

Science Conference Proceedings (OSTI)

Global optimization methods including Particle Swarm Optimization are usually used to solve optimization problems when the number of parameters is small (hundreds). In the case of inverse problems the objective (or fitness) function used for sampling ... Keywords: PSO, inverse problems, model reduction techniques, uncertainty

Juan L. Fernández-Martínez; Tapan Mukerji; Esperanza García-Gonzalo

2010-09-01T23:59:59.000Z

434

Pricing transmission rights using ant colony optimization  

Science Conference Proceedings (OSTI)

We propose a novel idea for pricing Transmission Rights (which are similar to financial options) using a nature inspired meta heuristic algorithm, Ant Colony Optimization (ACO). ACO has been used extensively in combinatorial optimization problems and ... Keywords: ant colony optimization, financial options, transmission rights

Sameer Kumar Singh; Ruppa K. Thulasiram; Parimala Thulasiraman

2011-07-01T23:59:59.000Z

435

Optimal Transportation on Sub-Riemannian Manifolds  

E-Print Network (OSTI)

Optimal Transportation on Sub-Riemannian Manifolds Ludovic Rifford Universit´e de Nice - Sophia Antipolis (Joint work with A. Figalli) Ludovic Rifford Optimal Transportation on Sub-Riemannian Manifolds #12;Monge's Optimal Transportation Problem Let M be a separable metric space equipped with its Borel

Rifford, Ludovic

436

Optimal Transportation on Sub-Riemannian Manifolds  

E-Print Network (OSTI)

Optimal Transportation on Sub-Riemannian Manifolds Ludovic Rifford Universit´e de Nice - Sophia Antipolis (Joint work with A. Figalli) Ludovic Rifford Optimal Transportation on Sub-Riemannian Manifolds #12;Outline I. Statement of our optimal transportation problem II. Sketch of proof of the Mc

Rifford, Ludovic

437

Robust optimal decisions with imprecise forecasts  

Science Conference Proceedings (OSTI)

A robust minimax approach for optimal investment decisions with imprecise return forecasts and risk estimations in financial portfolio management is considered. Single-period and multi-period mean-variance optimization models are extended to worst-case ... Keywords: Minimax, Rival scenarios, Robust optimization

Nalan Gülp?nar; Berc Rustem

2007-04-01T23:59:59.000Z

438

Heat exchanger Exergoeconomic lifecycle cost optimization  

Science Conference Proceedings (OSTI)

Considering lifecycle cost analysis during the design phase of thermal systems gives the design effort more worth. Furthermore thermodynamic exergetic optimization is proven to be useful method for determining the most lifecycle cost optimal design of ... Keywords: entropy generation, exergy destruction, heat exchanger, operating cost, optimization, thermodynamics

Liaquat Ali Khan; Ali El-Ghalban

2008-02-01T23:59:59.000Z

439

Setting targets for surrogate-based optimization  

Science Conference Proceedings (OSTI)

In the context of surrogate-based optimization (SBO), most designers have still very little guidance on when to stop and how to use infill measures with target requirements (e.g., one-stage approach for goal seeking and optimization); the reason: optimum ... Keywords: Extreme value theory, Minimum estimates from sample data, Setting targets, Surrogate-based optimization

Nestor V. Queipo; Salvador Pintos; Efrain Nava

2013-04-01T23:59:59.000Z

440

Refinery analytical techniques optimize unit performance  

Science Conference Proceedings (OSTI)

Refinery process engineers need to consider benefits of laboratory analytical techniques when evaluating unit performance. Refinery heavy-oil laboratory analytical techniques use both old and new technologies. Knowing how to use available laboratory analytical techniques within their limitations are critical to obtain correct refinery optimization decisions. Better refinery stream distillation and contaminant data ultimately improves the accuracy of various refinery decision-making tools. These laboratory analytical techniques are covered: high-temperature simulated distillation (HTSD); true boiling point (TBP) distillation--ASTM D2892; vacuum distillation--ASTM D5236; continuous-flash vaporizers; wiped-film evaporators; inductively coupled plasma atomic-emission spectroscopy (ICP-AES); Conradson--ASTM D189/Microcarbon residue--ASTM D4530; and asphaltene IP-143, ASTM D3279, ASTM D4124. Analysis of atmospheric crude, vacuum crude and delayed coker units highlight these laboratory techniques to identify potential yield and product quality benefits. Physical distillation or wiped-film evaporation in conjunction with HTSD, ICP-AES, microcarbon residue and asphaltened data will better characterize a feedstock as well as determine the source of contaminants. Economics are refinery specific, therefore, these examples focus on applying laboratory techniques as opposed to discussing specifics of unit improvement. These are discussed qualitatively.

Golden, S.W. [Process Consulting Services Inc., Grapevine, TX (United States); Craft, S. [Chempro, Inc., LaPorte, TX (United States); Villalanti, D.C. [Triton Analytics Corp., Houston, TX (United States)

1995-11-01T23:59:59.000Z

Note: This page contains sample records for the topic "optimization cxs applied" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

Statistical Uncertainty Analysis Applied to Criticality Calculation  

Science Conference Proceedings (OSTI)

In this paper, we present an uncertainty methodology based on a statistical approach, for assessing uncertainties in criticality prediction using monte carlo method due to uncertainties in the isotopic composition of the fuel. The methodology has been applied to criticality calculations with MCNP5 with additional stochastic input of the isotopic fuel composition. The stochastic input were generated using the latin hypercube sampling method based one the probability density function of each nuclide composition. The automatic passing of the stochastic input to the MCNP and the repeated criticality calculation is made possible by using a python script to link the MCNP and our latin hypercube sampling code.

Hartini, Entin; Andiwijayakusuma, Dinan; Susmikanti, Mike; Nursinta, A. W. [Centre for Nuclear Informatics Development, National Nuclear Energy Agency of Indonesia (Indonesia)

2010-06-22T23:59:59.000Z

442

Applied Environmental Microbiology | VIMSS - Virtual Institute for  

NLE Websites -- All DOE Office Websites (Extended Search)

Collection of Soil Samples Collection of Soil Samples Identification of Natural Stressors Profiling of Microbial Population Field and Simulated Conceptual Model Facilities The Applied Environmental Microbiology (AEM) Core is the source of environmental data and samples that determine the stressors that will be studied, pro-vides the environments for growing the organisms to be tested, simulates stressed environments, and verifies the conceptual models to determine how these stress regulatory pathways control the biogeochemistry of contaminated sites. The specific goals of the AEM Core are to: Survey and map DOE sites contaminated by metals and radionuclides using chemical and molecular/ microbiological parameters to determine major microbial populations and potential stressors for Desulfovibrio vulgaris,

443

15.053 Introduction to Optimization, Spring 2004  

E-Print Network (OSTI)

Introduces students to the theory, algorithms, and applications of optimization. The optimization methodologies include linear programming, network optimization, dynamic programming, integer programming, non-linear ...

Orlin, James B., 1953-

444

Optimal Real-time Dispatch for Integrated Energy Systems  

E-Print Network (OSTI)

absorption chiller and space-heating. optimal dispatch – The full optimizationabsorption chiller and space-heating. optimal dispatch – The full optimization

Firestone, Ryan Michael

2007-01-01T23:59:59.000Z

445

16.323 Principles of Optimal Control, Spring 2006  

E-Print Network (OSTI)

Studies the principles of deterministic optimal control. Variational calculus and Pontryagin's maximum principle. Applications of the theory, including optimal feedback control, time-optimal control, and others. Dynamic ...

How, Jonathan P.

446

Co-evolutionary particle swarm optimization to solve constrained optimization problems  

Science Conference Proceedings (OSTI)

This paper presents a co-evolutionary particle swarm optimization (CPSO) algorithm to solve global nonlinear optimization problems. A new co-evolutionary PSO (CPSO) is constructed. In the algorithm, a deterministic selection strategy is proposed to ensure ... Keywords: Co-evolutionary, Diversity mechanism, Extrapolation, Global nonlinear optimization, Infeasible degree, Particle swarm optimization

Xiaoli Kou; Sanyang Liu; Jianke Zhang; Wei Zheng

2009-06-01T23:59:59.000Z

447

Optimization of laminate stacking sequence for minimizing weight and cost using elitist ant system optimization  

Science Conference Proceedings (OSTI)

This paper presents the application of ant colony optimization (ACO) for the multi-objective optimization of hybrid laminates for obtaining minimum weight and cost. The investigated laminate is made of glass-epoxy and graphite-epoxy plies to combine ... Keywords: Ant colony optimization, Elitist ant system, Genetic algorithm, Laminated composite materials, Multi-objective optimization, Stacking sequence

Hossein Hemmatian; Abdolhossein Fereidoon; Ali Sadollah; Ardeshir Bahreininejad

2013-03-01T23:59:59.000Z

448

A Particle Swarm Optimization Approach for Optimal Design of PID Controller for Temperature Control in HVAC  

Science Conference Proceedings (OSTI)

Particle swarm optimization (PSO) is a novel evolutionary algorithm which has a better convergence rate and computation precision compared with other evolutionary algorithms. From the perspective of optimization, the self-tuning of PID controller parameters ... Keywords: PSO, PID, HVAC, Optimization, Particle Swarm Optimization

Zhang Jun; Zhang Kanyu

2011-01-01T23:59:59.000Z

449

Optimal power flow in microgrids using event-triggered optimization Pu Wan and Michael D. Lemmon  

E-Print Network (OSTI)

Optimal power flow in microgrids using event-triggered optimization Pu Wan and Michael D. Lemmon Abstract-- Microgrids are power generation and distribution systems in which users and generators-triggered distributed optimization algorithm to solve the optimal power flow (OPF) problem in microgrids. Under event

Lemmon, Michael

450

A Case Study of the Applied Learning Academy: Reconceptualized Quantum Design of Applied Learning  

E-Print Network (OSTI)

The purpose of this qualitative study was to examine the Applied Learning Academy (ALA) and allow the lessons learned from this public school to emerge from the narrative stories of past students, parents, teachers, administrators, and local business associates who have been directly involved and influenced by the applied learning teaching method. Accountability is critical for all public and charter schools. Districts have been trying to raise the standards with new programs and strategies in an effort to make learning experiences relevant to students? daily lives. Revisiting John Dewey?s philosophy from the progressive movement, project-based, service learning, community partnerships, and portfolio assessment helped to create the applied learning method. In the present study, a qualitative case study approach was utilized to identify successful factors, benefits, and drawbacks of applied learning in order to describe the transition of portfolio assessment, project-based learning, and community-based partnerships within the classroom and to understand the impact and misconceptions of applied learning as experienced through the Recognized Campus, ALA, a 6-8th public middle school within a large urban school district. Participant interviews, field observations, and historical records were collected which indicated that student centered project-based curriculum, small school size creating family relationships, community involvement with partnerships, service learning projects, and metacognitive development from portfolio assessments were the major factors that supported academic rigor and relevance because of the real educational applications in this applied learning middle school. Briefly defined, applied learning is when a problem is seen within the surrounding community, and the solution is generated by the students. This progressive 15-year impact of applied learning ultimately leads to the development of four applied learning schools despite the misconception that applied learning was a remedial or gifted program. Redefining applied learning for a better understanding developed a reconceptualized diagram borrowed from the quantum mechanics model. Reconceptualization expands the interpretation by increasing the intellectual flexibility. As the student becomes energized from the acquired knowledge of learning applicable skills through service learning, project-based curriculum, and portfolio assessment, the student?s academic growth should increase to a higher, educational ?energy level? supported by the critical, situated-learning, and feminist theories.

Gordon, Denise

2009-12-01T23:59:59.000Z

451

Adaptive optimal control: an algorithm for direct digital control  

SciTech Connect

An algorithm for applying advanced control concepts in heating, ventilating, and air conditioning (HVAC) systems has been developed at the Los Alamos Scientific Laboratory (LASL). The algorithm uses optimal control and is adaptive in nature. Simulations for a solar heated and cooled building indicate that use of this algorithm can accomplish a substantial savings in auxiliary energy consumption. In this paper, the algorithm is described and its application is illustrated with a simple example. Simulation results for a more complex system are also presented. The hardware, including the digital computer, needed to implement this algorithm is briefly discussed.

Farris, D.R.; McDonald, T.E.

1980-01-01T23:59:59.000Z

452

EG G Mound Applied Technologies payroll system  

SciTech Connect

EG G Mound Applied Technologies, Inc., manages and operates the Mound Facility, Miamisburg, Ohio, under a cost-plus-award-fee contract administered by the Department of Energy's Albuquerque Field Office. The contractor's Payroll Department is responsible for prompt payment in the proper amount to all persons entitled to be paid, in compliance with applicable laws, regulations, and legal decisions. The objective was to determine whether controls were in place to avoid erroneous payroll payments. EG G Mound Applied Technologies, Inc., did not have all the internal controls required by General Accounting Office Title 6, Pay, Leave, and Allowances.'' Specifically, they did not have computerized edits, separation of duties and responsibilities, and restricted access to payroll data files. This condition occurred because its managers were not aware of Title 6 requirements. As a result, the contractor could not assure the Department of Energy that payroll costs were processes accurately; and fraud, waste, or abuse of Department of Energy funds could go undetected. Our sample of 212 payroll transactions from a population of 66,000 in FY 1991 disclosed only two minor processing errors and no instances of fraud, waste or abuse.

Not Available

1992-02-07T23:59:59.000Z

453

A hybrid GA-TS algorithm for open vehicle routing optimization of coal mines material  

Science Conference Proceedings (OSTI)

In the open vehicle routing problem (OVRP), the objective is to minimize the number of vehicles and the total distance (or time) traveled. This study primarily focuses on solving an open vehicle routing problem (OVRP) by applying a novel hybrid genetic ... Keywords: Coal mine material, Genetic algorithms, Hybrid, Open vehicle routing problem, Optimize, Tabu search

Shiwei Yu; Chang Ding; Kejun Zhu

2011-08-01T23:59:59.000Z

454

Optimizing the anaerobic digestion of microalgae in a coupled Terence Bayen  

E-Print Network (OSTI)

Optimizing the anaerobic digestion of microalgae in a coupled process Terence Bayen , Francis by light and an anaerobic digester. The mathematical model for the dynamics of the reactors takes for sustainable energy production [2]. Anaerobic digestion can be applied to recover the energy stored

Recanati, Catherine

455

A modified particle swarm optimization algorithm for a single-machine scheduling problem with periodic maintenance  

Science Conference Proceedings (OSTI)

In this paper, a particle swarm optimization (PSO) algorithm is presented to solve the single-machine scheduling problem with periodic maintenance activities. The most important issue for applying PSO algorithm successfully to the addressed scheduling ... Keywords: Nonresumable jobs, Periodic maintenance, Single-machine scheduling

Chinyao Low; Chou-Jung Hsu; Chwen-Tzeng Su

2010-09-01T23:59:59.000Z

456

Optimal endogenous carbon taxes for electric power supply chains with power plants  

Science Conference Proceedings (OSTI)

In this paper, we develop a modeling and computational framework that allows for the determination of optimal carbon taxes applied to electric power plants in the context of electric power supply chain (generation/distribution/consumption) networks. ... Keywords: Carbon taxes, Electric power, Environmental policies, Network equilibria, Renewable energy, Supply chains, Variational inequalities

Anna Nagurney; Zugang Liu; Trisha Woolley

2006-11-01T23:59:59.000Z

457

System reliability prediction model based on evidential reasoning algorithm with nonlinear optimization  

Science Conference Proceedings (OSTI)

In this paper, a novel reliability prediction technique based on the evidential reasoning (ER) algorithm is developed and applied to forecast reliability in turbocharger engine systems. The focus of this study is to examine the feasibility and validity ... Keywords: Evidential reasoning, Forecasting, Nonlinear optimization, Reliability

Chang-Hua Hu; Xiao-Sheng Si; Jian-Bo Yang

2010-03-01T23:59:59.000Z

458

Deterministic regression model and visual basic code for optimal forecasting of financial time series  

Science Conference Proceedings (OSTI)

A new, non-statistical method is presented for analysis of the past history and current evolution of economic and financial processes. The method is based on the sliding model approach using linear differential or difference equations applied to discrete ... Keywords: Optimal forecasting in finance, Sliding deterministic regression models

Alejandro Balbás; Beatriz Balbás; Inna Galperin; Efim Galperin

2008-11-01T23:59:59.000Z

459

Nonlinear controller optimization of a power system based on reduced multivariate polynomial model  

Science Conference Proceedings (OSTI)

This paper describes the design of a nonlinear controller in a power system by using the reduced multivariate polynomial (RMP) optimization algorithm with the one-shot training property. The RMP model is applied to estimate its Hessian matrix in addition ...

Seung-Mook Baek; Jung-Wook Park

2009-06-01T23:59:59.000Z

460

Optimal Power-Law Description of Oceanic Whitecap Coverage Dependence on Wind Speed  

Science Conference Proceedings (OSTI)

The optimal power-law expression for the dependence of oceanic whitecap coverage fraction W on 10 m elevation wind speed U as determined by ordinary least squares fitting applied to the combined whitecap data sets of Monahan (1971) and Toba and ...

Edward C. Monahan; IognáidÓ Muircheartaigh

1980-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "optimization cxs applied" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

Optimized Constant Pressure Stochastic Dynamics  

E-Print Network (OSTI)

A recently proposed method for computer simulations in the isothermal-isobaric (NPT) ensemble, based on Langevin-type equations of motion for the particle coordinates and the ``piston'' degree of freedom, is re-derived by straightforward application of the standard Kramers-Moyal formalism. An integration scheme is developed which reduces to a time-reversible symplectic integrator in the limit of vanishing friction. This algorithm is hence expected to be quite stable for small friction, allowing for a large time step. We discuss the optimal choice of parameters, and present some numerical test results.

A. Kolb; B. Duenweg

1999-03-29T23:59:59.000Z

462

Optimized constant pressure stochastic dynamics  

E-Print Network (OSTI)

A recently proposed method for computer simulations in the isothermal– isobaric (NPT) ensemble, based on Langevin–type equations of motion for the particle coordinates and the “piston ” degree of freedom, is re–derived by straightforward application of the standard Kramers–Moyal formalism. An integration scheme is developed which reduces to a time–reversible symplectic integrator in the limit of vanishing friction. This algorithm is hence expected to be quite stable for small friction, allowing for a large time step. We discuss the optimal choice of parameters, and present some numerical test results.

A. Kolb; B. Dünweg

1999-01-01T23:59:59.000Z

463

HOMER: The Micropower Optimization Model  

Science Conference Proceedings (OSTI)

HOMER, the micropower optimization model, helps users to design micropower systems for off-grid and grid-connected power applications. HOMER models micropower systems with one or more power sources including wind turbines, photovoltaics, biomass power, hydropower, cogeneration, diesel engines, cogeneration, batteries, fuel cells, and electrolyzers. Users can explore a range of design questions such as which technologies are most effective, what size should components be, how project economics are affected by changes in loads or costs, and is the renewable resource adequate.

Not Available

2004-03-01T23:59:59.000Z

464

Optimized Maintenance of Generator Rotors  

Science Conference Proceedings (OSTI)

Generator rotor maintenance options are limited and expensive. The timing and scope of work done requires optimization to obtain the maximum benefits for continued long-term trouble-free operation. This document is a comprehensive guide to the maintenance of large generator rotors of 2 and 4 pole design that are cooled directly or indirectly by air or hydrogen. These include 50 and 60 Hz machines, operating at speeds of 1500, 1800, 3000, and 3600 RPM. The guide does not cover water-cooled rotors. The inf...

2004-12-13T23:59:59.000Z

465

201/span>3 Short Course Applied Fundamentals in Interfacial Phenomena  

Science Conference Proceedings (OSTI)

Applied Fundamentals in Interfacial Phenomena Short Course held at the 104th AOCS Annual Meeting and Expo. 201/span>3 Short Course Applied Fundamentals in Interfacial Phenomena Applied Fundamentals in Interfacial Phenomena Saturday •

466

Optimal block-tridiagonalization of matrices for coherent charge transport  

SciTech Connect

Numerical quantum transport calculations are commonly based on a tight-binding formulation. A wide class of quantum transport algorithms require the tight-binding Hamiltonian to be in the form of a block-tridiagonal matrix. Here, we develop a matrix reordering algorithm based on graph partitioning techniques that yields the optimal block-tridiagonal form for quantum transport. The reordered Hamiltonian can lead to significant performance gains in transport calculations, and allows to apply conventional two-terminal algorithms to arbitrarily complex geometries, including multi-terminal structures. The block-tridiagonalization algorithm can thus be the foundation for a generic quantum transport code, applicable to arbitrary tight-binding systems. We demonstrate the power of this approach by applying the block-tridiagonalization algorithm together with the recursive Green's function algorithm to various examples of mesoscopic transport in two-dimensional electron gases in semiconductors and graphene.

Wimmer, Michael [Institut fuer Theoretische Physik, Universitaet Regensburg, 93040 Regensburg (Germany)], E-mail: Michael.Wimmer@physik.uni-regensburg.de; Richter, Klaus [Institut fuer Theoretische Physik, Universitaet Regensburg, 93040 Regensburg (Germany)

2009-12-10T23:59:59.000Z

467

System Design and Optimization of CO2 Storage in Deep Saline Aquifers  

E-Print Network (OSTI)

Optimization of waterflooding sweep efficiency has been widely applied in reservoir engineering to improve hydrocarbon recovery while delaying water breakthrough and minimizing the bypassed oil in reservoirs. We develop a new framework to optimize flooding sweep efficiency in geologic formations with heterogeneous properties and demonstrate its application to waterflooding and geological CO2 sequestration problems. The new method focuses on equalizing and delaying (under constant total injected volume) the breakthrough time of the injected fluid at production wells. For application to CO2 sequestration where producers may not be present, we introduce the concept of pseudo production wells that have insignificant production rates (with negligible effect on the overall flow regime) for quantification of hypothetical breakthrough curves that can be used for optimization purpose. We apply the new method to waterflooding and CO2 sequestration optimization using two heterogeneous reservoir models. We show that in water flooding experiments, the proposed method improves the sweep efficiency by delaying the field breakthrough and equalizing breakthrough times in all production wells. In this case, the optimization results in increased oil recovery and decreased water production. We apply a modified version of the proposed algorithm to geologic CO2 sequestration problems to maximize the storage capacity of aquifers by enhancing the residual and dissolution trapping. The results from applying the proposed approach to optimization of geologic CO2 storage problems illustrate the effectiveness of the algorithm in improving residual and solubility trapping by increasing the contact between available fresh brine and the injected CO2 plume through a more uniform distribution of CO2 in the aquifer.

Shamshiri, Hossein

2010-12-01T23:59:59.000Z

468

Applied Energy Management | Open Energy Information  

Open Energy Info (EERE)

Management Management Jump to: navigation, search Name Applied Energy Management Place Huntersville, North Carolina Zip 28078 Sector Efficiency, Renewable Energy Product North Carolina-based, energy efficiency and renewable energy service and construction company. Coordinates 35.409853°, -80.842716° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":35.409853,"lon":-80.842716,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

469

How to Apply for ENERGY STAR® Certification  

NLE Websites -- All DOE Office Websites (Extended Search)

ü ü ü ü ü ü ü ü ü ü ü ü ü ü ü ü ü ü ü "How To" Series How to Apply for ENERGY STAR ® Certification Commercial buildings that earn EPA's ENERGY STAR certification perform in the top 25 percent of similar buildings nationwide, as verified by a Licensed Professional (a Professional Engineer or a Registered Architect). ENERGY STAR certified buildings use an average of 35 percent less energy and are responsible for 35 percent fewer greenhouse gas emissions than average buildings. To qualify for the ENERGY STAR, a property must achieve an ENERGY STAR score of 75 or higher on EPA's 1 - 100 scale, which compares a property's energy performance to

470

FY 1990 Applied Sciences Branch annual report  

DOE Green Energy (OSTI)

The Applied Sciences Branch actively supports the advancement of DOE/SERI goals for the development and implementation of the solar photovoltaic technology. The primary focus of the laboratories is to provide state-of-the-art analytical capabilities for materials and device characterization and fabrication. The branch houses a comprehensive facility which is capable of providing information on the full range of photovoltaic components. A major objective of the branch is to aggressively pursue collaborative research with other government laboratories, universities, and industrial firms for the advancement of photovoltaic technologies. Members of the branch disseminate research findings to the technical community in publications and presentations. This report contains information on surface and interface analysis, materials characterization, development, electro-optical characterization module testing and performance, surface interactions and FTIR spectroscopy.

Keyes, B.M.; Dippo, P.C. (eds.)

1991-11-01T23:59:59.000Z

471

A Conductivity Relationship for Steady-state Unsaturated Flow Processes under Optimal Flow Conditions  

SciTech Connect

Optimality principles have been used for investigating physical processes in different areas. This work attempts to apply an optimal principle (that water flow resistance is minimized on global scale) to steady-state unsaturated flow processes. Based on the calculus of variations, we show that under optimal conditions, hydraulic conductivity for steady-state unsaturated flow is proportional to a power function of the magnitude of water flux. This relationship is consistent with an intuitive expectation that for an optimal water flow system, locations where relatively large water fluxes occur should correspond to relatively small resistance (or large conductance). Similar results were also obtained for hydraulic structures in river basins and tree leaves, as reported in other studies. Consistence of this theoretical result with observed fingering-flow behavior in unsaturated soils and an existing model is also demonstrated.

Liu, H. H.

2010-09-15T23:59:59.000Z

472

Mixed Variable Optimization of the Number and Composition of Heat Intercepts in a Thermal Insulation System  

E-Print Network (OSTI)

: In the literature, thermal insulation systems with a xed number of heat intercepts have been optimized with respect to intercept locations and temperatures. The number of intercepts and the types of insulators that surround them were chosen by parametric studies. This was because the optimization methods used could not treat such categorical variables. Discrete optimization variables are categorical if the objective function or the constraints can not be evaluated unless the variables take one of a prescribed enumerable set of values. The key issue is that categorical variables can not be treated as ordinary discrete variables are treated by relaxing them to continuous variables with a side constraint that they be discrete at the solution. A new mixed variable programming (MVP) algorithm makes it possible to optimize directly with respect to mixtures of discrete, continuous, and categorical decision variables. The result of applying MVP is shown here to give a 65% reduction in the ...

Michael Kokkolaras; Charless Audet; J. E. Dennis, Jr.

2000-01-01T23:59:59.000Z

473

Navigating without vision: Basic and applied research  

E-Print Network (OSTI)

ABSTRACT: We describe some of the results of our program of basic and applied research on navigating without vision. One basic research topic that we have studied extensively is path integration, a form of navigation in which perceived self-motion is integrated over time to obtain an estimate of current posilion and orientation. In experiments on pathway completion, one test of path integration ability, we have found that subjects who are passively guided over the outbound path without vision exhibit significant errors when attempting to return to the origin but are nevertheless sensitive to turns and segment lengths in the stimulus path. We have also found no major differences in path inlegration ability among blirid and sighted populations. A model we havc developed that attributes errors in path integration to errors in encoding the stimulus path is a good beginning toward understanding path integration performance. In otber research on path integration, in which optic flow information was manipulated in addition to the proprioceptive and vestibular information of nonvisual locomotion, we havc found that optic flow is a weak input to the path integration process. In other basic research, our studies of auditory distance perception in outdoor environments show systematic underestimation oC sound source distance. Our applied research has been concerned with developing and evaluating a navigation system for the visually impaired that uses three recent technologies: the Global Positioning System, Geographic Information Systems, and virtual acouslics. Our work shows that there is considerable promise of these three technologies in allowing visually impaired individuals to navigate and learn about unfamiliar environments without the assistance of human guides. (Optoni Vis Sci 2001;78:282-289)

Jack M. Loomis; Roberta L. Klatzky; Reginald G. Golledge

2001-01-01T23:59:59.000Z

474

Application of stochastic optimization method for an urban corridor  

Science Conference Proceedings (OSTI)

This paper presents a stochastic traffic signal optimization method that consists of the CORSIM microscopic traffic simulation model and a heuristic optimizer. For the heuristic optimizer, the performance of three widely used optimization methods (i.e., ...

Ilsoo Yun; Byungkyu "Brian" Park

2006-12-01T23:59:59.000Z

475

Remediation of Mercury and Industrial Contaminants Applied Field...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Remediation of Mercury and Industrial Contaminants Applied Field Research Initiative (RoMIC-AFRI) Remediation of Mercury and Industrial Contaminants Applied Field Research...

476

Computational Advances in Applied Energy | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Advances in Applied Energy Computational Advances in Applied Energy Friedmann-LLNL-SEAB.10.11.pdf More Documents & Publications Director's Perspective by George Miller...

477

Applying physics, teamwork to fusion energy science | Princeton...  

NLE Websites -- All DOE Office Websites (Extended Search)

Applying physics, teamwork to fusion energy science American Fusion News Category: Massachusetts Institute of Technology (MIT) Link: Applying physics, teamwork to fusion energy...

478

Attenuation-Based Remedies in the Subsurface Applied Field Research...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Subsurface Applied Field Research Initiative (ABRS AFRI) Located at the Savannah River Site in Aiken, South Carolina, the Attenuation-Based Remedies in the Subsurface Applied...

479

Applying Climate Information for Adaptation Decision-Making:...  

Open Energy Info (EERE)

Applying Climate Information for Adaptation Decision-Making: A Guidance and Resource Document Jump to: navigation, search Tool Summary Name: Applying Climate Information for...

480

Distributed Generation Dispatch Optimization under Various Electricity Tariffs  

E-Print Network (OSTI)

Optimization Under Various Electricity Tariffs Firestone,Optimization Under Various Electricity Tariffs Table of3 2.1 Electricity Tariff

Firestone, Ryan; Marnay, Chris

2007-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "optimization cxs applied" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


481

Aligned Microstructure by Applying a High Magnetic Field to ...  

Science Conference Proceedings (OSTI)

Numerical Modeling of Centrifugally Cast HSS Rolls · Numerical Simulation of Electro-magnetic Turbulent Inhibitor Technology in a Tundish · Optimizing the ...

482

lagrangean duality applied on vehicle routing with time windows  

E-Print Network (OSTI)

Aug 23, 2001 ... These companies have to optimize transportation. As the ... more global, transportation will become even more important in the future. Back in ...

483

Applying mathematical finance tools to the competitive Nordic electricity market.  

E-Print Network (OSTI)

??This thesis models competitive electricity markets using the methods of mathematical finance. Fundamental problems of finance are market price modelling, derivative pricing, and optimal portfolio… (more)

Vehviläinen, Iivo

2004-01-01T23:59:59.000Z

484

Program on Technology Innovation: An Optimization Approach for Life-Cycle Management Applied to Large Power Transformers  

Science Conference Proceedings (OSTI)

This report presents results and insights from a study of the life-cycle management (LCM) of main transformers at Constellation Energy Nuclear Group's (CENG's) five nuclear power plants. The study used two asset management (AM) tools developed by Electricit de France (EDF).

2011-07-04T23:59:59.000Z

485

Development of the Supply Chain Optimization and Planning for the Environment (SCOPE) Tool - Applied to Solar Energy  

E-Print Network (OSTI)

life-cycle [5]. 3. Electricity distribution and circularity:on the local electricity mix and distribution system e?1]. Data on distribution losses, electricity used by the

Reich-Weiser, Corinne; Fletcher, Tristan; Dornfeld, David; Horne, Steve

2008-01-01T23:59:59.000Z

486

Development of the Supply Chain Optimization and Planning for the Environment (SCOPE) Tool - Applied to Solar Energy  

E-Print Network (OSTI)

of an italian wind farm,” Renewable and Sustainable Energyassessment of an italian wind farm by Ardente et al. that

Reich-Weiser, Corinne; Fletcher, Tristan; Dornfeld, David; Horne, Steve

2008-01-01T23:59:59.000Z

487

Development of the Supply Chain Optimization and Planning for the Environment (SCOPE) Tool - Applied to Solar Energy  

E-Print Network (OSTI)

electricity used by the electricity industry, and the totalwith- drawn by the electricity industry [12]. Solar has the

Reich-Weiser, Corinne; Fletcher, Tristan; Dornfeld, David; Horne, Steve

2008-01-01T23:59:59.000Z

488

Development of the Supply Chain Optimization and Planning for the Environment (SCOPE) Tool - Applied to Solar Energy  

E-Print Network (OSTI)

industry, and the total electricity pro- duction are used along with the total change in primary energy supply

Reich-Weiser, Corinne; Fletcher, Tristan; Dornfeld, David; Horne, Steve

2008-01-01T23:59:59.000Z

489

GA-based method for feature selection and parameters optimization for machine learning regression applied to software effort estimation  

Science Conference Proceedings (OSTI)

Context: In software industry, project managers usually rely on their previous experience to estimate the number men/hours required for each software project. The accuracy of such estimates is a key factor for the efficient application of human resources. ... Keywords: Feature selection, Genetic algorithms, Regression, Software effort estimation, Support vector regression

Adriano L. I. Oliveira; Petronio L. Braga; Ricardo M. F. Lima; Márcio L. Cornélio

2010-11-01T23:59:59.000Z

490

Clean Coal Power Initiative Round 1 Demonstration Projects Applying Advanced Technologies to Lower Emissions  

NLE Websites -- All DOE Office Websites (Extended Search)

7 JUNE 2012 7 JUNE 2012 Clean Coal Power Initiative Round 1 Demonstration Projects Applying Advanced Technologies to Lower Emissions and Improve Efficiency 2 Cover Photos: * Top left: Great River Energy's Coal Creek Station * Top right: We Energy's Presque Isle Power Plant * Bottom: Dynegy's Baldwin Energy Complex A report on three projects conducted under separate cooperative agreements between the U.S. Department of Energy and: * Great River Energy * NeuCo. , Inc. * WeEnergies 3 Executive Summary 4 Clean Coal Technology Demonstration Program 5 CCPI Program 6 Demonstration of Integrated Optimization Software at

491

Optimization of a photobioreactor biomass production using natural light  

E-Print Network (OSTI)

We address the question of optimization of the biomass long term productivity in the framework of microalgal biomass production in photobioreactors under the influence of day/night cycles. For that, we propose a simple bioreactor model accounting for light attenuation in the reactor due to biomass density and obtain the control law that optimizes productivity over a single day through the application of Pontryagin's maximum principle, with the dilution rate being the control. An important constraint on the obtained solution is that the biomass in the reactor should be at the same level at the beginning and at the end of the day so that the same control can be applied everyday and optimizes the long term productivity. Several scenarios are possible depending on the microalgae's strain parameters and the maximal admissible value of the dilution rate: bang-bang or bang-singular-bang control or, if the growth rate of the algae is very strong in the presence of light, constant maximal dilution. A bifurcation diagr...

Grognard, Frédéric; Pierre, Masci; Bernard, Olivier

2010-01-01T23:59:59.000Z

492

Distributed Generation Dispatch Optimization under VariousElectricity Tariffs  

Science Conference Proceedings (OSTI)

The on-site generation of electricity can offer buildingowners and occupiers financial benefits as well as social benefits suchas reduced grid congestion, improved energy efficiency, and reducedgreenhouse gas emissions. Combined heat and power (CHP), or cogeneration,systems make use of the waste heat from the generator for site heatingneeds. Real-time optimal dispatch of CHP systems is difficult todetermine because of complicated electricity tariffs and uncertainty inCHP equipment availability, energy prices, and system loads. Typically,CHP systems use simple heuristic control strategies. This paper describesa method of determining optimal control in real-time and applies it to alight industrial site in San Diego, California, to examine: 1) the addedbenefit of optimal over heuristic controls, 2) the price elasticity ofthe system, and 3) the site-attributable greenhouse gas emissions, allunder three different tariff structures. Results suggest that heuristiccontrols are adequate under the current tariff structure and relativelyhigh electricity prices, capturing 97 percent of the value of thedistributed generation system. Even more value could be captured bysimply not running the CHP system during times of unusually high naturalgas prices. Under hypothetical real-time pricing of electricity,heuristic controls would capture only 70 percent of the value ofdistributed generation.

Firestone, Ryan; Marnay, Chris

2007-05-01T23:59:59.000Z

493

Timing modeling and optimization under the transmission line model  

E-Print Network (OSTI)

Abstract—As the operating frequency increases to gigahertz and the rise time of a signal is less than or comparable to the time-of-flight delay of a wire, it is necessary to consider the transmission line behavior for delay computation. We present in this paper, an analytical formula for the delay computation under the transmission line model. Extensive simulations with SPICE show the high fidelity of the formula. Compared with previous works, our model leads to smaller average errors in delay estimation. Based on this formula, we show the property that the minimum delay for a transmission line with reflection occurs when the number of round trips is minimized (i.e., equals one). Besides, we show that the delay of a circuit path is a posynomial function in wire and buffer sizes, implying that a local optimum is equal to the global optimum. Thus, we can apply any efficient search algorithm such as the well-known gradient search procedure to compute the globally optimal solution. Experimental results show that simultaneous wire and buffer sizing is very effective for performance optimization under the transmission line model. Index Terms—Buffer sizing, delay model, inductance, interconnect, performance optimization, transmission line, wire sizing.

Tai-chen Chen; Song-ra Pan; Yao-wen Chang

2004-01-01T23:59:59.000Z

494

Plasma process optimization for N-type doping applications  

SciTech Connect

Plasma doping (PLAD) has been adopted across the implant technology space and into high volume production for both conventional DRAM and NAND doping applications. PLAD has established itself as an alternative to traditional ion implantation by beamline implantation. The push for high doping concentration, shallow doping depth, and conformal doping capability expand the need for a PLAD solution to meet such requirements. The unique doping profile and doping characteristics at high dose rates allow for PLAD to deliver a high throughput, differentiated solution to meet the demand of evolving transistor technology. In the PLAD process, ions are accelerated to the wafer as with a negative wafer bias applied to the wafer. Competing mechanisms, such as deposition, sputtering, and etching inherent in plasma doping require unique control and process optimization. In this work, we look at the distinctive process tool control and characterization features which enable an optimized doping process using n-type (PH{sub 3} or AsH{sub 3}) chemistries. The data in this paper will draw the relationship between process optimization through plasma chemistry study to the wafer level result.

Raj, Deven; Persing, Harold; Salimian, Siamak; Lacey, Kerry; Qin Shu; Hu, Jeff Y.; McTeer, Allen [Applied Materials, Inc., Varian Semiconductor Business Unit, 35 Dory Road, Gloucester, MA 01930 (United States); Micron Technology, Inc., 8000 S. Federal Way, Boise, ID 83707 (United States)

2012-11-06T23:59:59.000Z

495

GASIFICATION PLANT COST AND PERFORMANCE OPTIMIZATION  

Science Conference Proceedings (OSTI)

The goal of this series of design and estimating efforts was to start from the as-built design and actual operating data from the DOE sponsored Wabash River Coal Gasification Repowering Project and to develop optimized designs for several coal and petroleum coke IGCC power and coproduction projects. First, the team developed a design for a grass-roots plant equivalent to the Wabash River Coal Gasification Repowering Project to provide a starting point and a detailed mid-year 2000 cost estimate based on the actual as-built plant design and subsequent modifications (Subtask 1.1). This unoptimized plant has a thermal efficiency of 38.3% (HHV) and a mid-year 2000 EPC cost of 1,681 $/kW. This design was enlarged and modified to become a Petroleum Coke IGCC Coproduction Plant (Subtask 1.2) that produces hydrogen, industrial grade steam, and fuel gas for an adjacent Gulf Coast petroleum refinery in addition to export power. A structured Value Improving Practices (VIP) approach was applied to reduce costs and improve performance. The base case (Subtask 1.3) Optimized Petroleum Coke IGCC Coproduction Plant increased the power output by 16% and reduced the plant cost by 23%. The study looked at several options for gasifier sparing to enhance availability. Subtask 1.9 produced a detailed report on this availability analyses study. The Subtask 1.3 Next Plant, which retains the preferred spare gasification train approach, only reduced the cost by about 21%, but it has the highest availability (94.6%) and produces power at 30 $/MW-hr (at a 12% ROI). Thus, such a coke-fueled IGCC coproduction plant could fill a near term niche market. In all cases, the emissions performance of these plants is superior to the Wabash River project. Subtasks 1.5A and B developed designs for single-train coal and coke-fueled power plants. This side-by-side comparison of these plants, which contain the Subtask 1.3 VIP enhancements, showed their similarity both in design and cost (1,318 $/kW for the coal plant and 1,260 $/kW for the coke plant). Therefore, in the near term, a coke IGCC power plant could penetrate the market and provide a foundation for future coal-fueled facilities. Subtask 1.6 generated a design, cost estimate and economics for a multiple train coal-fueled IGCC powerplant, also based on the Subtaks 1.3 cases. The Subtask 1.6 four gasification train plant has a thermal efficiency of 40.6% (HHV) and cost 1,066 $/kW. The single-train advanced Subtask 1.4 plant, which uses an advanced ''G/H-class'' combustion turbine, can have a thermal efficiency of 45.4% (HHV) and a plant cost of 1,096 $/kW. Multi-train plants will further reduce the cost. Again, all these plants have superior emissions performance. Subtask 1.7 developed an optimized design for a coal to hydrogen plant. At current natural gas prices, this facility is not competitive with hydrogen produced from natural gas. The preferred scenario is to coproduce hydrogen in a plant similar to Subtask 1.3, as described above. Subtask 1.8 evaluated the potential merits of warm gas cleanup technology. This study showed that selective catalytic oxidation of hydrogen sulfide (SCOHS) is promising. As gasification technology matures, SCOHS and other improvements identified in this study will lead to further cost reductions and efficiency improvements.

Samuel S. Tam

2002-05-01T23:59:59.000Z

496

Electric Power System Asset Optimization  

NLE Websites -- All DOE Office Websites (Extended Search)

NETL-430/061110 NETL-430/061110 March 7, 2011 430.01.03 Electric Power System Asset Optimization Disclaimer This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference therein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or

497

HCCI Engine Optimization and Control  

DOE Green Energy (OSTI)

The goal of this project was to develop methods to optimize and control Homogeneous-Charge Compression Ignition (HCCI) engines, with emphasis on diesel-fueled engines. HCCI offers the potential of nearly eliminating IC engine NOx and particulate emissions at reduced cost over Compression Ignition Direct Injection engines (CIDI) by controlling pollutant emissions in-cylinder. The project was initiated in January, 2002, and the present report is the final report for work conducted on the project through December 31, 2004. Periodic progress has also been reported at bi-annual working group meetings held at USCAR, Detroit, MI, and at the Sandia National Laboratories. Copies of these presentation materials are available on CD-ROM, as distributed by the Sandia National Labs. In addition, progress has been documented in DOE Advanced Combustion Engine R&D Annual Progress Reports for FY 2002, 2003 and 2004. These reports are included as the Appendices in this Final report.

Rolf D. Reitz

2005-09-30T23:59:59.000Z

498

Computational optimization of synthetic water channels.  

Science Conference Proceedings (OSTI)

Membranes for liquid and gas separations and ion transport are critical to water purification, osmotic energy generation, fuel cells, batteries, supercapacitors, and catalysis. Often these membranes lack pore uniformity and robustness under operating conditions, which can lead to a decrease in performance. The lack of uniformity means that many pores are non-functional. Traditional membranes overcome these limitations by using thick membrane materials that impede transport and selectivity, which results in decreased performance and increased operating costs. For example, limitations in membrane performance demand high applied pressures to deionize water using reverse osmosis. In contrast, cellular membranes combine high flux and selective transport using membrane-bound protein channels operating at small pressure differences. Pore size and chemistry in the cellular channels is defined uniformly and with sub-nanometer precision through protein folding. The thickness of these cellular membranes is limited to that of the cellular membrane bilayer, about 4 nm thick, which enhances transport. Pores in the cellular membranes are robust under operating conditions in the body. Recent efforts to mimic cellular water channels for efficient water deionization produced a significant advance in membrane function. The novel biomimetic design achieved a 10-fold increase in membrane permeability to water flow compared to commercial membranes and still maintained high salt rejection. Despite this success, there is a lack of understanding about why this membrane performs so well. To address this lack of knowledge, we used highperformance computing to interrogate the structural and chemical environments experienced by water and electrolytes in the newly created biomimetic membranes. We also compared the solvation environments between the biomimetic membrane and cellular water channels. These results will help inform future efforts to optimize and tune the performance of synthetic biomimetic membranes for applications in water purification, energy, and catalysis.

Rogers, David Michael; Rempe, Susan L. B.

2012-12-01T23:59:59.000Z

499

STOCHASTIC OPTIMIZATION OVER A PARETO SET ASSOCIATED ...  

E-Print Network (OSTI)

Multi-Objective Optimization Problems (MOP) have become a major area of interest in ... practical areas where this problem arises. In general ...... 22 29-51, 1997.

500

Semidefinite Optimization Approaches for Satisfiability and ...  

E-Print Network (OSTI)

a remarkably active area of research in optimization during the last decade. For combi- ... [51] for a survey of the state-of-the-art in SDP algorithms.